Precise Spatiotemporal Patterns among Visual Cortical Areas and Their Relation to Visual Stimulus Processing
Open accessAbstract
Visual processing shows a highly distributed organization in which the presentation of a visual stimulus simultaneously activates neurons in multiple columns across several cortical areas. It has been suggested that precise spatiotemporal activity patterns within and across cortical areas play a key role in higher cognitive, motor, and visual functions. In the visual system, these patterns have been proposed to take part in binding stimulus features into a coherent object, i.e., to be involved in perceptual grouping. Using voltage-sensitive dye imaging (VSDI) in behaving monkeys (Macaca fascicularis, males), we simultaneously measured neural population activity in the primary visual cortex (V1) and extrastriate cortex (V2, V4) at high spatial and temporal resolution. We detected time point population events (PEs) in the VSDI signal of each pixel and found that they reflect transient increased neural activation within local populations by establishing their relation to spiking and local field potential activity. Then, we searched for repeating space and time relations between the detected PEs. We demonstrate the following: (1) spatiotemporal patterns occurring within (horizontal) and across (vertical) early visual areas repeat significantly above chance level; (2) information carried in only a few patterns can be used to reliably discriminate between stimulus categories on a single-trial level; (3) the spatiotemporal patterns yielding high classification performance are characterized by late temporal occurrence and top-down propagation, which are consistent with cortical mechanisms involving perceptual grouping. The pattern characteristics and the robust relation between the patterns and the stimulus categories suggest that spatiotemporal activity patterns play an important role in cortical mechanisms of higher visual processing.
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Electrophysiological findings show the neocortex generates precisely timed spatiotemporal spike activity patterns during various motor and non-motor cognitive tasks.
“This concept receives additional support from electrophysiological findings showing that the neocortex generates precisely timed spatiotemporal spike activity patterns during various motor and non-motor cognitive tasks [219–221].”
From Consensus Paper: Pathological Role of the Cerebellum in Autism (2012) · cites this paper as [219]
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Cites
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Gilbert, C. D., Das, A., Ito, M., Kapadia, M., & Westheimer, G. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.2.615 · Cited by 329 · cited 1× · see citing works
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ResultDynamics of Spontaneous Activity in Neocortical Slices
Mao, B.-Q., Hamzei‐Sichani, F., Aronov, D., Froemke, R. C., & Yuste, R. (2001) · Neuron · doi:10.1016/s0896-6273(01)00518-9 · Cited by 319 · cited 1× · see citing works
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“It has been argued that repeats of spatiotemporal patterns may occur by chance (Oram et al., 1999; Baker and Lemon, 2000), calling into question the existence of reliable mechanisms exploiting such patterns (Richmond et al., 1999).”
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In-vivo Optical Imaging of Cortical Architecture and Dynamics
Grinvald, A., Shoham, D., Shmuel, A., Glaser, D. E., Vanzetta, I., Shtoyerman, E., Slovin, H., Wijnbergen, C., Hildesheim, R., & Arieli, A. (1999) · Springer eBooks · doi:10.1007/978-3-642-58552-4_34 · Cited by 222 · see citing works
Self-citationLong-Term Voltage-Sensitive Dye Imaging Reveals Cortical Dynamics in Behaving Monkeys
Slovin, H., Arieli, A., Hildesheim, R., & Grinvald, A. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00194.2002 · Cited by 216 · cited 3× · see citing works
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“The protocol of data acquisition in VSDI has been described in detail elsewhere (Shtoyerman et al., 2000).”
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“It has been suggested that these patterns can serve as a mechanism to temporally bind spatially distributed cortical activity that generate a coherent visual object, cognitive function, or motor action (von der Malsburg, 1985; Bienenstock, 1995).”
BackgroundSelf-citationChapter 13 The role of feedback connections in shaping the responses of visual cortical neurons
Bullier, J., Hupé, J., James, A. C., & Girard, P. (2001) · Progress in brain research · doi:10.1016/s0079-6123(01)34014-1 · Cited by 204 · cited 1× · see citing works
“A plausible interpretation of this observation is that topdown patterns are imprints of the high-level knowledge required to perform perceptual grouping and correctly segment natural images (Hupé et al., 1998; Lamme and Roelfsema, 2000; Bullier et al., 2001).”
BackgroundOptimal decoding of correlated neural population responses in the primate visual cortex
Chen, Y., Geisler, W. S., & Seidemann, E. (2006) · Nature Neuroscience · doi:10.1038/nn1792 · Cited by 191 · cited 1× · see citing works
“These values are well within the published range (Van Essen et al., 1984; Angelucci et al., 2002; Chen et al., 2006).”
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“The surgical procedure has been reported in detail elsewhere (Grinvald et al., 1999; Shtoyerman et al., 2000; Arieli et al., 2002).”
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“It has been argued that repeats of spatiotemporal patterns may occur by chance (Oram et al., 1999; Baker and Lemon, 2000), calling into question the existence of reliable mechanisms exploiting such patterns (Richmond et al., 1999).”
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“Their proposed role in visual processing is consistent with, but also extends, the mechanism of binding by synchrony (Engel et al., 1991a,b; Engel et al., 1992; Gray et al., 1992; Eckhorn, 1994; Burgess and O’Keefe, 1996; Huxter et al., 2003).”
ResultModeling Compositionality by Dynamic Binding of Synfire Chains
Abeles, M., Hayon, G., & Lehmann, D. J. (2004) · Journal of Computational Neuroscience · doi:10.1023/b:jcns.0000037682.18051.5f · Cited by 122 · cited 2× · see citing works
“nization of different synfire chains, which has been proposed as a substrate for hierarchical composition (Bienenstock, 1996; Abeles et al., 2004; Hayon et al., 2005), i.”
BackgroundSelf-citationShmuel, A., Korman, M., Sterkin, A., Harel, M., Ullman, S., Malach, R., & Grinvald, A. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4137-04.2005 · Cited by 110 · cited 2× · see citing works
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BackgroundThe role of feedback in shaping neural representations in cat visual cortex
Galuske, R. A. W., Schmidt, K. E., Goebel, R., Lomber, S. G., & Payne, B. R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242399199 · Cited by 106 · cited 2× · see citing works
“Suggested mechanisms of perceptual grouping and segmentation use both low-level and high-level cues (Palmer, 1992) and are supported by a rich network of feedforward, horizontal, and feedback connections (Rockland and Lund, 1982; Gilbert and Wiesel, 1989; Malach et al., 1993; Salin and Bullier, 1995; Hupé et al., 1998…”
BackgroundFavored patterns in spike trains. II. Application
Dayhoff, J. E., & Gerstein, G. L. (1983) · Journal of Neurophysiology · doi:10.1152/jn.1983.49.6.1349 · Cited by 98 · cited 2× · see citing works
“Numerous studies have reported the existence of such patterns in various cortical areas (Dayhoff and Gerstein, 1983; Abeles et al., 1993; Prut et al., 1998; Lestienne et al., 1999; Ikegaya et al., 2004; Shmiel et al., 2005).”
BackgroundRainer, G., Augath, M. A., Trinath, T., & Logothetis, N. K. (2001) · Current Biology · doi:10.1016/s0960-9822(01)00242-1 · Cited by 95 · cited 1× · see citing works
“The first was phase perturbation (Rainer et al., 2001), which generated images with 10% phase coherence.”
BackgroundMokeichev, A., Okun, M., Barak, O., Katz, Y., Ben‐Shahar, O., & Lampl, I. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.017 · Cited by 90 · cited 3× · see citing works
“, 2005), but it was later claimed that they could also arise by chance from the mere stochastic properties of cortical activity (Mokeichev et al., 2007).”
BackgroundTemporally Precise Cortical Firing Patterns Are Associated With Distinct Action Segments
Shmiel, T., Drori, R., Shmiel, O., Ben‐Shaul, Y., Nádasdy, Z., Shemesh, M., Teicher, M., & Abeles, M. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00798.2005 · Cited by 81 · cited 1× · see citing works
“The number of significantly repeating patterns reported here is much higher than those published previously (Prut et al., 1998; Ikegaya et al., 2004; Shmiel et al., 2006).”
ResultSelf-citationLestienne, R., & Strehler, B. L. (1987) · Brain Research · doi:10.1016/0006-8993(87)91638-6 · Cited by 71 · cited 1× · see citing works
“These findings have been considered an indication of functional connectivity or formation of task-dependent assemblies of cooperative neurons (Dayhoff and Gerstein, 1983; Lestienne and Strehler, 1987; Prut et al., 1998).”
BackgroundAt what time scale does the nervous system operate?
Hatsopoulos, N. G., Geman, S., Amarasingham, A., & Bienenstock, E. (2003) · Neurocomputing · doi:10.1016/s0925-2312(02)00773-7 · Cited by 67 · cited 1× · see citing works
“The statistical significance of the counts of pattern occurrences (doublets or triplets) was assessed by comparing their occurrence in real raster plots with their occurrence in surrogate raster plots generated by two independent methods (Hatsopoulos et al., 2003).”
MethodSelf-citationNeurons of the cerebral cortex exhibit precise interspike timing in correspondence to behavior
Shmiel, T., Drori, R., Shmiel, O., Ben‐Shaul, Y., Nádasdy, Z., Shemesh, M., Teicher, M., & Abeles, M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509346102 · Cited by 64 · cited 1× · see citing works
“Numerous studies have reported the existence of such patterns in various cortical areas (Dayhoff and Gerstein, 1983; Abeles et al., 1993; Prut et al., 1998; Lestienne et al., 1999; Ikegaya et al., 2004; Shmiel et al., 2005).”
BackgroundSelf-citationA Model for Representing the Dynamics of a System of Synfire Chains
Hayon, G., Abeles, M., & Lehmann, D. J. (2005) · Journal of Computational Neuroscience · doi:10.1007/s10827-005-5479-1 · Cited by 56 · cited 2× · see citing works
“…of different synfire chains, which has been proposed as a substrate for hierarchical composition (Bienenstock, 1996; Abeles et al., 2004; Hayon et al., 2005), i.e., vertical binding, would give rise to a subset of patterns that would depend on the computations carried out in the…”
BackgroundSelf-citationCommunications between Cortical Areas of the Visual System
Bullier, J. (2003) · The MIT Press eBooks · doi:10.7551/mitpress/7131.003.0039 · Cited by 56 · see citing works
Salazar, R. F., Peter König, B., & Kayser, C. (2004) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2004.03579.x · Cited by 24 · cited 1× · see citing works
“Indeed, the flow of information between areas was previously shown to be affected by the spatial complexity of a stimulus (Salazar et al., 2004).”
BackgroundResponse Features Determining Spike Times
Richmond, B. J., Oram, M. W., & Wiener, M. C. (1999) · Neural Plasticity · doi:10.1155/np.1999.133 · Cited by 15 · cited 2× · see citing works
“It has been argued that repeats of spatiotemporal patterns may occur by chance (Oram et al., 1999; Baker and Lemon, 2000), calling into question the existence of reliable mechanisms exploiting such patterns (Richmond et al., 1999).”
BackgroundRepeating triplets of spikes and oscillations in the mitral cell discharges of freely breathing rats
Lestienne, R., Tuckwell, H. C., Chalansonnet, M., & Chaput, M. A. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00740.x · Cited by 14 · cited 1× · see citing works
“Numerous studies have reported the existence of such patterns in various cortical areas (Dayhoff and Gerstein, 1983; Abeles et al., 1993; Prut et al., 1998; Lestienne et al., 1999; Ikegaya et al., 2004; Shmiel et al., 2005).”
BackgroundBienenstock, E. (1996) · Elsevier eBooks · doi:10.1016/b978-044482046-4/50057-2 · Cited by 7 · see citing works
Self-citationObject Perception: Generative Image Models and Bayesian Inference
Kersten, D. (2002) · Lecture notes in computer science · doi:10.1007/3-540-36181-2_21 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 74 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Abeles M (1991) Corticonics: neural circuits of the cerebral cortex. New York: Cambridge UP.
- Bienenstock E (1996) Composition. In: Brain theory: biological basis and computational theory of vision (Aertsen A, Braitenberg V, eds), pp 269 - 300. Amsterdam: Elsevier.
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Sorted by citations
Consensus Paper: Pathological Role of the Cerebellum in Autism
Fatemi, S. H., Aldinger, K. A., Ashwood, P., Bauman, M. L., Blaha, C. D., Blatt, G. J., Chauhan, A., Chauhan, V., Dager, S. R., Dickson, P. E., et al. (2012) · The Cerebellum · doi:10.1007/s12311-012-0355-9 · Cited by 723 · see citing works
The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave
Muller, L., Reynaud, A., Chavane, F., & Alain Destexhe, A. (2014) · Nature Communications · doi:10.1038/ncomms4675 · Cited by 261 · see citing works
Kaliukhovich, D. A., & Vogels, R. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq207 · Cited by 131 · see citing works
Endogenous Sequential Cortical Activity Evoked by Visual Stimuli
Carrillo‐Reid, L., Miller, J.-E. K., Hamm, J. P., Jackson, J., & Yuste, R. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5214-14.2015 · Cited by 134 · see citing works
“To identify sequential pairs of neurons with fixed time intervals, we performed an exhaustive matching algorithm that searches for a given time interval in all of the possible combinations of active neurons (Ayzenshtat et al., 2010).”
BackgroundMethodNeuronal ensembles: Building blocks of neural circuits
Yuste, R., Cossart, R., & Yaksi, E. (2024) · Neuron · doi:10.1016/j.neuron.2023.12.008 · Cited by 127 · see citing works
Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models
Muller, L., & Alain Destexhe, A. (2012) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2012.06.005 · Cited by 101 · see citing works
“VSD recordings under similar experimental conditions do not show these high-frequency oscillations (Slovin et al., 2002; Chen et al., 2006; Meirovithz et al., 2010; Ayzenshtat et al., 2010), probably because of the low-pass filtering inherent in the VSD signal (Wu et al.”
Multi-scale analysis of neural activity in humans: Implications for micro-scale electrocorticography
Kellis, S., Sorensen, L. B., Darvas, F., Sayres, C., O’Neill, K., Brown, R. B., House, P. A., Ojemann, J. G., & Greger, B. E. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.06.002 · Cited by 77 · see citing works
“Interactions both within and between columns in visual cortex have demonstrated dynamic spatiotemporal patterns which are thought to represent the binding of features for cortical processing (Engel et al., 1990; Singer and Gray, 1995; von der Malsburg, 1995; Buzsaki and Draguhn, 2004; Fries, 2009; Ayzenshtat et al., 2…”
Not so spontaneous: Multi-dimensional representations of behaviors and context in sensory areas
Avitan, L., & Stringer, C. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.019 · Cited by 69 · see citing works
Cortical Correlates of Low-Level Perception: From Neural Circuits to Percepts
Frégnac, Y., & Bathellier, B. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.041 · Cited by 69 · see citing works
Long-Range Parallel Processing and Local Recurrent Activity in the Visual Cortex of the Mouse
Polack, P., & Contreras, D. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6304-11.2012 · Cited by 68 · see citing works
“…evoked by visual stimuli have been performed using VSD in rats (Xu et al., 2007; Han et al., 2008), ferrets (Roland et al., 2006; Harvey et al., 2009), cats (Jancke et al., 2004; Benucci et al., 2007; Sharon et al., 2007), and monkeys (Sit et al., 2009; Ayzenshtat et al., 2010), but never in mice.”
MethodGilad, A., Meirovithz, E., & Slovin, H. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.013 · Cited by 65 · see citing works
Self-citationCerebellar Coordination of Neuronal Communication in Cerebral Cortex
McAfee, S. S., Liu, Y., Sillitoe, R. V., & Heck, D. H. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.781527 · Cited by 60 · see citing works
Kaliukhovich, D. A., & Vogels, R. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00059.2012 · Cited by 46 · see citing works
Quaglio, P., Yegenoglu, A., Torre, E., Endres, D., & Grün, S. (2017) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2017.00041 · Cited by 43 · see citing works
“In the work of Ayzenshtat et al. (2010) and Tal and Abeles (2016) the authors defined and extracted special events from their analog recordings (voltage-sensitive dye imaging and MEG, respectively) and reduced them to point events.”
BackgroundMethodAdvanced Circuit and Cellular Imaging Methods in Nonhuman Primates
Macknik, S. L., Alexander, R. G., Caballero, O., Chanovas, J., Nielsen, K. J., Nishimura, N., Schaffer, C. B., Slovin, H., Babayoff, A., Barak, R., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1168-19.2019 · Cited by 37 · see citing works
“The in vivo VSD signal is highly correlated with the membrane potential, emphasizing subthreshold fluctuation (Sterkin et al., 1998; Petersen et al., 2003) but also reflecting spiking activity (Jancke et al., 2004; Ayzenshtat et al., 2010; Reynaud et al., 2011; Chen et al., 2012).”
BackgroundSelf-citationHeck, D. H., Fox, M. B., Chapman, B., McAfee, S. S., & Liu, Y. (2023) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2023.1126508 · Cited by 35 · see citing works
Meirovithz, E., Ayzenshtat, I., Werner-Reiss, U., Shamir, I., & Slovin, H. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr102 · Cited by 33 · see citing works
“6 ) and scrambled versions of these images (Ayzenshtat et al. 2010) or an image of randomly oriented and positioned Gabor matrices (11 3 8 ).”
BackgroundSelf-citationRepresentation of Color Surfaces in V1: Edge Enhancement and Unfilled Holes
Zweig, S., Zurawel, G., Shapley, R. M., & Slovin, H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1334-15.2015 · Cited by 32 · see citing works
“…(1) defining region-of-interest (ROI; only pixels with fluorescence level 15% of maximal fluorescence were analyzed), (2) normalizing to background fluorescence, (3) average blank subtraction (see schematic illustration of the basic VSDI analysis by Ayzenshtat et al., 2010, their supplemental Fig.”
MethodSelf-citationCortico-cortical communication dynamics
Roland, P. E., Hilgetag, C. C., & Deco, G. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00019 · Cited by 29 · see citing works
“…et al., 2006; Ferezou et al., 2007; Lippert et al., 2007; Xu et al., 2007; Ahmed et al., 2008; Han et al., 2008; Takagaki et al., 2008; Yoshida et al., 2008; Harvey et al., 2009; Ayzenshtat et al., 2010; Meirovithz et al., 2010; Ng et al., 2010; Polack and Contreras, 2012; Harvey and Roland, 2013).”
BackgroundInfluentialAbnormal Population Responses in the Somatosensory Cortex of Alzheimer’s Disease Model Mice
Maatuf, Y., Stern, E. A., & Slovin, H. (2016) · Scientific Reports · doi:10.1038/srep24560 · Cited by 32 · see citing works
Self-citationWaddington, A., Appleby, P. A., de Kamps, M., & Cohen, N. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00088 · Cited by 30 · see citing works
“For example, it has been shown that precise chains of activity can determine visual input (Ayzenshtat et al., 2010) in monkeys and predict their reaching (Abeles et al., 1993), opening a puzzle box (Prut et al., 1998), moving a joystick (Hatsopoulos et al., 2003), and drawing (Shmiel et al., 2006).”
BackgroundAyzenshtat, I., Gilad, A., Zurawel, G., & Slovin, H. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1596-12.2012 · Cited by 29 · see citing works
“To do so, we first rank ordered the pixels according to the mutual information (MI) between the neuronal signal and the stimulus category in the set of training trials (Ayzenshtat et al., 2010).”
BackgroundMethodResultInfluentialSelf-citationCarrillo‐Reid, L., & Yuste, R. (2020) · Oxford Research Encyclopedia of Neuroscience · doi:10.1093/acrefore/9780190264086.013.298 · Cited by 28 · see citing works
Onat, S., Peter König, B., & Jancke, D. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr038 · Cited by 23 · see citing works
“…avoids biased sampling of neurons, captures population activity irrespective of receptive field locations, and preferred feature selectivities (Jancke et al. 1999; Jancke 2000), thus faithfully providing the global state of the cortex under different stimulus conditions (Ayzenshtat et al. 2010).”
Spatio-temporal pattern recognizers using spiking neurons and spike-timing-dependent plasticity
Humble, J., Denham, S. L., & Wennekers, T. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00084 · Cited by 18 · see citing works
“More recently, Ayzenshtat et al. (2010) described spatio-temporal patterns within and across early visual areas that contained enough information to reliably discriminate between stimulus categories.”
Roland, P. E. (2017) · Neuron · doi:10.1016/j.neuron.2017.04.038 · Cited by 18 · see citing works
Population Responses in V1 Encode Different Figures by Response Amplitude
Gilad, A., & Slovin, H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0971-14.2015 · Cited by 17 · see citing works
Self-citationAppearance of fast astrocytic component in voltage-sensitive dye imaging of neural activity
Pál, I., Kardos, J., Dobolyi, Á., & Héja, L. (2015) · Molecular Brain · doi:10.1186/s13041-015-0127-9 · Cited by 16 · see citing works
“ness or low spatial resolution [26–28].”
Bermudez-Contreras, E. J., Chekhov, S., Sun, J., Tarnowsky, J., McNaughton, B., & Mohajerani, M. H. (2018) · Neurophotonics · doi:10.1117/1.nph.5.2.025005 · Cited by 14 · see citing works
Margalit, S. N., & Slovin, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-32148-0 · Cited by 14 · see citing works
Self-citationCollinear Stimuli Induce Local and Cross-Areal Coherence in the Visual Cortex of Behaving Monkeys
Gilad, A., Meirovithz, E., Leshem, A., Arieli, A., & Slovin, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049391 · Cited by 14 · see citing works
“[61] Supplementary Fig.”
Self-citationClassification of Spatiotemporal Neural Activity Patterns in Brain Imaging Data
Song, M. J., Kang, M., Lee, H., Jeong, Y., & Paik, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-26605-z · Cited by 14 · see citing works
“This notion might also be supported by reports that neural activity patterns can vary depending on the context of sensory stimuli, or on motor activity such as eye movement 24–30 .”
BackgroundOnat, S., Jancke, D., & Peter König, B. (2013) · F1000Research · doi:10.12688/f1000research.2-51.v2 · Cited by 14 · see citing works
“However, we cannot exclude that feedback signals originating from higher visual areas with larger receptive field sizes than in primary visual cortex could add to these interactions 56,57 .”
Davis, Z. W., Busch, A., Steward, C., Muller, L., & Reynolds, J. H. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114707 · Cited by 12 · see citing works
Omer, D. B., Hildesheim, R., & Grinvald, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.045 · Cited by 13 · see citing works
“Our results, as well as many previous publications from the groups of Petersen, Slovin and Seidemann (Chen et al., 2006, 2008, 2012; Ferezou et al., 2006, 2007; Sit et al., 2009; Meirovithz et al., 2009, 2012; Ayzenshtat et al., 2010; Palmer et al., 2012; Chen et al., 2011; Chen and Seidemann, 2012), indicate that und…”
InfluentialFigure-Ground Processing during Fixational Saccades in V1: Indication for Higher-Order Stability
Gilad, A., Pesoa, Y., Ayzenshtat, I., & Slovin, H. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4375-13.2014 · Cited by 13 · see citing works
“The basic analysis of the VSDI signal is detailed previously (Slovin et al., 2002; Ayzenshtat et al., 2010, their supplemental Fig.”
MethodSelf-citationReconstruction of shape contours from V1 activity at high resolution
Zurawel, G., Shamir, I., & Slovin, H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.072 · Cited by 12 · see citing works
Self-citationMargalit, S. N., Golomb, N. G., Tsur, O., Yehoshua, E. B., Raz, A., & Slovin, H. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac031 · Cited by 12 · see citing works
Self-citationPagès, S. (2011) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2011.00020 · Cited by 11 · see citing works
Laminar firing and membrane dynamics in four visual areas exposed to two objects moving to occlusion
Harvey, M., & Roland, P. E. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00023 · Cited by 10 · see citing works
“Such motion of (net excitatory) synaptic activity is also observed in other species and other visual stimulus conditions (Eriksson and Roland, 2006; Roland et al., 2006; Xu et al., 2007; Ahmed et al., 2008; Takagaki et al., 2008; Harvey et al., 2009; Roland, 2010; Ayzenshtat et al., 2010).”
BackgroundOnat, S., Jancke, D., & Peter König, B. (2013) · F1000Research · doi:10.12688/f1000research.2-51.v1 · Cited by 9 · see citing works
Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds
Kuo, P., Chen, Y., Chen, L., & Hsieh, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.046 · Cited by 9 · see citing works
“…patterns are known to be an essential element in visual processing, the spatiotemporal components (STCs) are also very important (Ahlfors et al., 1999; Ayzenshtat et al., 2010; Ioannides et al., 2012; van de Nieuwenhuijzen et al., 2013) and might be beneficial for the decoding of visual processing.”
Gilad, A., Oz, R., & Slovin, H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw305 · Cited by 8 · see citing works
Self-citationNativ, Y., Bouhnik, T., & Slovin, H. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1547-24.2025 · Cited by 7 · see citing works
Self-citationDiversity of omission responses to visual images across brain-wide regions
Nitzan, N., & Buzsáki, G. (2025) · Science Advances · doi:10.1126/sciadv.adv5651 · Cited by 6 · see citing works
“Spiking responses to omitted stimuli can reflect an unexpected change or reconstruction of the specific omitted image.”
Long-Term Memory Search across the Visual Brain
Fedurco, M. (2012) · Neural Plasticity · doi:10.1155/2012/392695 · Cited by 6 · see citing works
“The Rho GTPase family kinases (signalization network downstream of NMDAR and AMPAR) communicate with the calcium-dependent kinase CAMKII and are able to spread laterally tens of microns away from the original LTP site [67–69].”
BackgroundThe Primary Visual Cortex Is Differentially Modulated by Stimulus-Driven and Top-Down Attention
Bekisz, M., Bogdan, W., Ghazaryan, A., Waleszczyk, W. J., Kublik, E., & Wróbel, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0145379 · Cited by 6 · see citing works
“Our stimulus-driven task induced a specific spatial pattern of beta (16–25 Hz) activation similar to the stimulus-specific activation map imaged with voltage-sensitive dyes in monkey primary cortex [48].”
BackgroundMethodJancke, D. (2017) · Neurophotonics · doi:10.1117/1.nph.4.3.031206 · Cited by 6 · see citing works
Roland, P. E., Bonde, L. H., Forsberg, L. E., & Harvey, M. (2017) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2017.00014 · Cited by 6 · see citing works
“…Senseman, 1996; Roland, 2002; Slovin et al., 2002; Petersen et al., 2003; Jancke et al., 2004; Ferezou et al., 2006; Roland et al., 2006; Ahmed et al., 2008; Eriksson et al., 2008; Harvey et al., 2009; Ayzenshtat et al., 2010; Chavane et al., 2011; Harvey and Roland, 2013; Müller et al., 2014).”
BackgroundInfluentialCortical Neural Computation by Discrete Results Hypothesis
Castejon, C., & Núñez, Á. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00081 · Cited by 5 · see citing works
“Spatio-temporal activity patterns play an important role in cortical mechanisms of information processing (Ayzenshtat et al., 2010).”
BackgroundOz, R., Edelman-Klapper, H., Margalit, S. N., & Slovin, H. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac409 · Cited by 5 · see citing works
Self-citationA Proto-Architecture for Innate Directionally Selective Visual Maps
Adams, S. V., & Harris, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102908 · Cited by 5 · see citing works
Pre-microsaccadic Modulation in Foveal V1: Enhancement in the Current and Future Stimulus Locations
Bouhnik, T., Korch, O., & Slovin, H. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.2448-24.2025 · Cited by 4 · see citing works
Self-citationTaillefumier, T. O., Touboul, J. D., & Magnasco, M. O. (2012) · Neural Computation · doi:10.1162/neco_a_00346 · Cited by 4 · see citing works
Social Development of Artificial Cognition
Belpaeme, T., Adams, S. V., de Greeff, J., Nuovo, A. G. D., Morse, A. F., & Cangelosi, A. (2016) · Intelligent systems reference library · doi:10.1007/978-3-319-31056-5_5 · Cited by 4 · see citing works
Margalit, S. N., & Slovin, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-39808-w · Cited by 3 · see citing works
Self-citationWillumsen, A., Midtgaard, J., Jespersen, B., Hansen, C. K. K., Lam, S. N., Hansen, S., Kupers, R. C., Fabricius, M. E., Litman, M., Pinborg, L. H., et al. (2022) · Cerebral Cortex Communications · doi:10.1093/texcom/tgac040 · Cited by 2 · see citing works
“Local cortical network dynamic and spatio-temporal cortical dynamics Local networks in the cortex interact spatially to contribute to cortical functions (Arieli et al. 1995; Ferezou et al. 2007; Ayzenshtat et al. 2010; Iacaruso et al. 2017; Roland et al. 2017; Davis et al. 2020; Grün et al. 2022).”
BackgroundA Method to Construct Visual Recognition Algorithms on the Basis of Neural Activity Data
Kurashige, H., & Câteau, H. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24965-5_55 · Cited by 2 · see citing works
“large neural populations of a brain of a living animal with high spatio-temporal resolution [1,2,3].”
BackgroundStructural phase transitions in neural networks
Turova, T. S. (2013) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2014.11.139 · Cited by 2 · see citing works
Contreras, E. B., Chekhov, S., Tarnowsky, J., Sun, J., McNaughton, B., & Mohajerani, M. H. (2017) · bioRxiv · doi:10.1101/177188 · Cited by 2 · see citing works
“There are already approaches available to image with parallel cell recordings from the acute brain slices (Tominaga et al. 2001; Carlson and Coulter 2008; Ayzenshtat et al. 2010; Mapelli et al. 2010; Ferrea et al. 2012).”
BackgroundMethodDistributed associative memory
Sterne, P. (2011) · Apollo (University of Cambridge) · doi:10.17863/cam.11695 · Cited by 2 · see citing works
Model of multiple synfire chains explains cortical spatio-temporal spike patternsPreprint
Kleinjohann, A., Berling, D., Stella, A., Tetzlaff, T., & Grün, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.02.502431 · Cited by 2 · see citing works
Cortico-cortical Communication Dynamics
(2014) · Frontiers research topics · doi:10.3389/978-2-88919-288-5 · Cited by 1 · see citing works
Humble, J. (2013) · PEARL (University of Plymouth) · doi:10.24382/2202 · Cited by 1 · see citing works
Local Field Potential, Relationship to Membrane Synaptic Potentials
Taub, A. H., Lampl, I., & Okun, M. (2015) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-6675-8_728 · Cited by 1 · see citing works
Different patterns of visual processing for shapes in V1 of mouse and monkeyPreprint
Yehoshua, E. B., & Slovin, H. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.31.486346 · Cited by 1 · see citing works
Self-citationLocal Field Potential, Relationship to Membrane Synaptic Potentials
Taub, A. H., Lampl, I., & Okun, M. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_728-1 · Cited by 1 · see citing works
“Whereas a considerable amount of experimental in vivo data was acquired over the years through combined intracellular (sharp or whole-cell) and LFP recordings, in both anesthetized and awake animals, so far only a few studies combined imaging and LFP recording (e.g., Ferezou et al. 2007; Ayzenshtat et al. 2010) (see e…”
BackgroundVoltage-Sensitive Dye Imaging of Cortical Dynamics
Petersen, C. C. H. (2013) · Neuromethods · doi:10.1007/978-1-62703-785-3_8
Local Field Potential: Relationship to Membrane Synaptic Potentials
Taub, A. H., Lampl, I., & Okun, M. (2019) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_728-2
Local Field Potential: Relationship to Membrane Synaptic Potentials
Taub, A. H., Lampl, I., & Okun, M. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_728
Margalit, S. N., & Slovin, H. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae165
Self-citationPopulation responses in V1 encodes stimulus visibility in backward masking
Dennis, I., Edelman-Klapper, H., Gadi-Raveh, G., Bar-Shira, O., Margalit, S. N., & Slovin, H. (2025) · iScience · doi:10.1016/j.isci.2025.113814
“32,34 Briefly, to remove the background fluorescence levels, each pixel was normalized to its baseline fluorescence level (average over few frames before stimulation onset).”
Self-citationSpatiotemporal dynamics in neocortex : quantification, analysis, models
Muller, L. (2014) · theses.fr (ABES) · doi:10.70675/f51645eez86f0z4e55z950cz479373cf87af
“…activity was observed repeatedly in VSD imaging of the visual cortex in the awake, behaving monkey (Chen et al., 2006; Meirovithz et al., 2010; Ayzenshtat et al., 2010), and it became a generally accepted view that large-amplitude, sensory-evoked propagating waves were predominantly an…”
Dynamic Textures Synthesis for Probing Vision in Psychophysics and Electrophysiology
Vacher, J. (2017) · theses.fr (ABES) · doi:10.70675/420e5bd5zd9dfz4d80z8093zd60d1f604343
“In experimental neurosciences the recording techniques are multiple: intracellular and extracellular recordings (ER), electroencephalography, functional magnetic resonance imaging (fMRI), two-photons imaging, voltage sensitive dye optical imaging (VSDi), etc.”
BackgroundMethodInfluential
- Authors
- Ayzenshtat, I., Meirovithz, E., Edelman, H., Werner-Reiss, U., Bienenstock, E., Abeles, M., & Slovin, H.
- Affiliations
- Bar-Ilan University (IL)
- Brown University (US)
- Corresponding author
- Slovin, Hamutal
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-08-18
- Volume
- 30
- Issue
- 33
- Pages
- 11232-11245
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6633472
- OpenAlex
- W2059729426
- Cited by
- 75
- References
- 74
- Citations by year
- 2025: 4 · 2024: 3 · 2023: 2 · 2022: 8 · 2020: 1 · 2019: 2 · 2018: 3 · 2017: 6 · 2016: 6 · 2015: 8 · 2014: 8 · 2013: 8 · 2012: 10
- FWCI
- 4.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0423031)
- Israel Science Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- spatiotemporal activity patterns, primary visual cortex, extrastriate cortex, V2, V4, perceptual grouping, feature binding, single-trial classification, local field potentials, spiking activity, visual stimulus processing, rhesus monkeys
- MeSH terms
- Action Potentials, Animals, Evoked Potentials, Visual, Macaca fascicularis, Male, Microelectrodes, Photic Stimulation, Signal Processing, Computer-Assisted, Time Factors, Visual Cortex, Visual Perception, Eye Movement Measurements, Voltage-Sensitive Dye Imaging
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