The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
The theta/gamma discrete phase code occuring during the hippocampal phase precession may be a more general brain coding scheme
Abstract
In the hippocampus, oscillations in the theta and gamma frequency range occur together and interact in several ways, indicating that they are part of a common functional system. It is argued that these oscillations form a coding scheme that is used in the hippocampus to organize the readout from long-term memory of the discrete sequence of upcoming places, as cued by current position. This readout of place cells has been analyzed in several ways. First, plots of the theta phase of spikes vs. position on a track show a systematic progression of phase as rats run through a place field. This is termed the phase precession. Second, two cells with nearby place fields have a systematic difference in phase, as indicated by a cross-correlation having a peak with a temporal offset that is a significant fraction of a theta cycle. Third, several different decoding algorithms demonstrate the information content of theta phase in predicting the animal's position. It appears that small phase differences corresponding to jitter within a gamma cycle do not carry information. This evidence, together with the finding that principle cells fire preferentially at a given gamma phase, supports the concept of theta/gamma coding: a given place is encoded by the spatial pattern of neurons that fire in a given gamma cycle (the exact timing within a gamma cycle being unimportant); sequential places are encoded in sequential gamma subcycles of the theta cycle (i.e., with different discrete theta phase). It appears that this general form of coding is not restricted to readout of information from long-term memory in the hippocampus because similar patterns of theta/gamma oscillations have been observed in multiple brain regions, including regions involved in working memory and sensory integration. It is suggested that dual oscillations serve a general function: the encoding of multiple units of information (items) in a way that preserves their serial order. The relationship of such coding to that proposed by Singer and von der Malsburg is discussed; in their scheme, theta is not considered. It is argued that what theta provides is the absolute phase reference needed for encoding order. Theta/gamma coding therefore bears some relationship to the concept of "word" in digital computers, with word length corresponding to the number of gamma cycles within a theta cycle, and discrete phase corresponding to the ordered "place" within a word.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Behavioral tasks can modulate phase amplitude coupling which has been implicated in sensory integration, memory processes, and attentional selection previously (54–56).”
From Perineuronal nets, inhibitory interneurons and anxiety-related ventral hippocampal neuronal oscillations are altered by early life adversity (2019) · cites this paper as [55]
Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454
Simple memory: a theory for archicortex
Marr, D. (1971) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1971.0078 · Cited by 2,771
Phase relationship between hippocampal place units and the EEG theta rhythm
O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,643
Gazzaniga, M. S., & Bizzi, E. (2000) · Cited by 2,547
Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat
Bragin, A., Jando, G., Nadasdy, Z., Hetke, J., Wise, K., & Buzsaki, G. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00047.1995 · Cited by 1,527
Storage of 7 +/- 2 short-term memories in oscillatory subcycles
Lisman, J. E., & Idiart, M. A. P. (1995) · Science · doi:10.1126/science.7878473 · Cited by 1,471
Hippocampal synaptic enhancement and information storage within a distributed memory system
McNaughton, B. L., & Morris, R. G. M. (1987) · Trends in Neurosciences · doi:10.1016/0166-2236(87)90011-7 · Cited by 1,304
Memory of sequential experience in the hippocampus during slow wave sleep
Lee, A. K., & Wilson, M. A. (2002) · Neuron · doi:10.1016/s0896-6273(02)01096-6 · Cited by 1,296
Flagged first, then by citations
Research works printed but not linked: 1
- Vertes RP, 1997, Brainstem‐diencephalo‐septohippocampal systems controlling the theta rhythm of the hippocampus, Neuroscience, 81, 893
Cited by
Sorted by citations
Items 301–400 of 435
Liu, X., Liu, T., Bai, W., Hu, Y., Li, S., & Tian, X. (2013) · Neuroscience Bulletin · doi:10.1007/s12264-013-1333-z · Cited by 7
“Gamma (30–80 Hz) oscillations also play an important role in functions such as information transmission and storage([12-14]).”
BackgroundLinking Nonlinear Neural Dynamics to Single‐Trial Human Behavior
Cohen, M. X., & Voytek, B. (2013) · Wiley eBooks · doi:10.1002/9783527671632.ch09 · Cited by 7
“The relative timing of action potentials with respect to oscillations has been implicated in information processing schemes such as phase coding (Lisman, 2005), as well as long-‐range inter-‐regional communication and coordination.”
BackgroundYang, L., Chen, X., Yang, L., Li, M., & Shang, Z. (2024) · Animals · doi:10.3390/ani14030439 · Cited by 6
“The following supporting information can be downloaded at: https: //www.mdpi.com/article/10.3390/ani14030439/s1, Figure S1 S2: Correlation analysis of PAC influencing factors for each pigeon during task 1; Table S3: Correlation analysis of PAC influencing factors for each pigeon during task 2.”
MethodInfluentialRaouf, P., Shalchyan, V., & Rostami, R. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106392 · Cited by 6
Electrophysiological insights into Alzheimer's disease: A review of human and animal studies
Calvin, K., McNeela, A. M., Osse, A. M. L., Bhasin, G., Ridenour, M., Kinney, J. W., & Hyman, J. M. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105987 · Cited by 8
van der Plas, M., Roux, F., Chelvarajah, R., Sawlani, V., Staresina, B. P., Wimber, M., Rollings, D. T., & Hanslmayr, S. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.09.010 · Cited by 6
Holographic Duality and the Physics of Consciousness
Awret, U. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.685699 · Cited by 7
“…to the hard problem of consciousness and not to the meta-problem like Clark; however, what is interesting here from a modeling point is that Lisman (2005) and Lisman and Buzsáki (2008) “theta precession inspired” Temporal Coding mechanism seems to provide such temporal thickness that can…”
BackgroundGlobal attractor alphabet of neural firing modes
Yoram Baram, A. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00107.2013 · Cited by 6
“Temporal multiplexing of different firing rates, observed in sensory cortices (Fairhall et al. 2001; Lundstrom and Fairhall 2006; Wark et al. 2009), enhances the coding and information transmission capacity (Bullock 1997; Kayser et al. 2009; Lisman 2005).”
BackgroundA Parsimonious Look at Neural Oscillations in Speech Perception
Tune, S., & Obleser, J. (2022) · Springer handbook of auditory research · doi:10.1007/978-3-030-81542-4_4 · Cited by 6
Classification of Multiple Seizure-Like States in Three Different Rodent Models of Epileptogenesis
Guirgis, M., Serletis, D., Zhang, J., Florez, C. M., Dian, J. A., Carlen, P. L., & Bardakjian, B. L. (2013) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2267543 · Cited by 6
Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition
Jensen, O. B., Spaak, E., & Zumer, J. M. (2019) · Springer eBooks · doi:10.1007/978-3-319-62657-4_17-1 · Cited by 9
Teng, X., Larrouy-Maestri, P., & Poeppel, D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.15.452556 · Cited by 6
“The important phenomenon of phase precession has been shown in spatial navigation (Buzsáki, 2005) and related to prediction of further events (Jensen and Lisman, 1996; Lisman, 2005; Oasim et al., 2021).”
BackgroundMethodLi, H., Zhao, Z., Fassini, A., Lee, H. K., Green, R. J., & Gomperts, S. N. (2025) · Scientific Reports · doi:10.1038/s41598-025-05653-2 · Cited by 5
Allothetic and idiothetic spatial cues control the multiplexed theta phase coding of place cells
Sueoka, Y., Jayakumar, R. P., Madhav, M. S., Savelli, F., Cowan, N. J., & Knierim, J. J. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02038-6 · Cited by 5
“Phase precession is observed across species, including rodents 10,11 , bats 26 and humans 27 , suggestive of its universal role in hippocampal computation 28,29 .”
Gao, J., Pan, L., Li, P., Liu, J., Yang, Z., Yang, S., Han, B., Liu, P., Wang, C., Chen, L., et al. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.4c09497 · Cited by 5
Hockeimer, W., Lai, R., Natrajan, M., Snider, W., & Knierim, J. J. (2025) · eLife · doi:10.7554/elife.85599 · Cited by 5
“Sequence learning mechanisms, such as theta phase precession or theta-gamma coding ( Gothard et al., 1996 ; Lisman, 2005 ; Terada et al., 2017 ) may also play a role.”
An arterially perfused nose-olfactory bulb preparation of the rat
Pallarés, F. P. D. L. C., Stanić, D., Farmer, D., Dutschmann, M., & Egger, V. (2015) · Journal of Neurophysiology · doi:10.1152/jn.01048.2014 · Cited by 5
Transcranial Ultrasound Stimulation Improves Memory Performance of Parkinsonian Mice
Zhao, Z., Ji, H., Pei, J., Yan, J., Zhang, X., Yuan, Y., & Liu, M. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3378109 · Cited by 5
“For example, many mechanosensitive ion channels are sensitive to TUS [15], [44], [45], [46].”
BackgroundLu, C. B., Yanagawa, Y., & Henderson, Z. (2010) · Brain Research · doi:10.1016/j.brainres.2010.01.090 · Cited by 5
A Variable Clock Underlies Internally Generated Hippocampal Sequences
Deng, X., Chen, S., Sosa, M., Karlsson, M. P., Wei, X.-X., & Frank, L. M. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1120-21.2022 · Cited by 5
“Once again as expected, population activity within each theta cycle was also rhythmically organized with a periodicity within the gamma range (Figure 1C; Lisman, 2005; Lisman and Buzsaki, 2008; Colgin et al., 2009; Lisman and Jensen, 2013; Lopes-Dos-Santos et al., 2018).”
BackgroundSaeedi, A., Jannesari, M., Gharibzadeh, S., & Bakouie, F. (2018) · Neural Computation · doi:10.1162/neco_a_01061 · Cited by 5
Jitsev, E. (2010) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · Cited by 5
Computational Models of Pharmacological and Immunological Treatment in Alzheimer's Disease
Cutsuridis, V., & Moustafa, A. A. (2017) · Wiley eBooks · doi:10.1002/9781119159193.ch8 · Cited by 5
Atiwiwat, D., Aquilino, M. S., Devinsky, O., Bardakjian, B. L., & Carlen, P. L. (2023) · SLEEP · doi:10.1093/sleep/zsad027 · Cited by 5
Keatch, C., Lambert, É., Woods, W., & Kameneva, T. (2025) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2025.01.011 · Cited by 5
Wang, J., Sun, T., Zhang, Y., Yu, X., & Wang, H. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.830149 · Cited by 4
“The theta rhythm has been well accepted to be linked with memory integration, from the encoding of new information to the retrieval of stored items (Kirk and Mackay, 2003; Lisman, 2005).”
Backgroundİşlevsel Özelleşmeye Yeni Bir Bakış: Nöronal Saatler
Ünal, G., & Ayhan, İ. (2020) · Nesne Psikoloji Dergisi · doi:10.7816/nesne-08-17-08 · Cited by 3
Jiang, J., & Song, Y. (2014) · Abstract and Applied Analysis · doi:10.1155/2014/368652 · Cited by 4
Higher-Order Spike Triggered Analysis of Neural Oscillators
Ota, K., Omori, T., Miyakawa, H., Okada, M., & Aonishi, T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050232 · Cited by 4
“Several studies have observed the theta oscillation in the CA1 area of the hippocampus in freely behaving rats and have found that the gamma waves are superimposed on the theta oscillation [34], and many researchers have focused on interactions between theta and gamma oscillations in an attempt to account for the temp…”
BackgroundBrain–computer interface analysis of a dynamic visuo-motor task
Logar, V., & Belič, A. (2010) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2010.10.004 · Cited by 4
From Blickets to Synapses: Inferring Temporal Causal Networks by Observation
Fernando, C. (2013) · Cognitive Science · doi:10.1111/cogs.12073 · Cited by 5
Biophysical modulation and robustness of itinerant complexity in neuronal networks
Venkadesh, S., Shaikh, A., Shakeri, H., Barreto, E., & Horn, J. D. V. (2024) · Frontiers in Network Physiology · doi:10.3389/fnetp.2024.1302499 · Cited by 3
“other neurons, and these synchronizations can occur at different phases (Skaggs and McNaughton, 1996; Poe et al., 2000; Jones and Wilson, 2005; Lisman, 2005; Ego-Stengel and Wilson, 2007; Vinck et al., 2010).”
BackgroundTheta-gamma coupling: nonlinearity as a universal cross-frequency coupling mechanism
Sheremet, A., & Qin, Y. F. (2025) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2025.1553000 · Cited by 3
“…known example, identified in rat hippocampus (e.g., Soltesz and Deschênes, 1993; Bragin et al., 1995; Rosenblum et al., 2000; Colgin et al., 2009; Lisman, 2005; Belluscio et al., 2012; Colgin, 2014; Pernía-Andrade and Jonas, 2014), in the visual cortex of primates (Whittingstall and Logothetis,…”
Mathematical Model of Spatial Encoding in Hippocampal Formation. I. Grid Cells Neurodynamics
Давидович, Ц. В. (2012) · Mathematical Biology and Bioinformatics · doi:10.17537/2012.7.206 · Cited by 3
Chao, J., Zheng, S., Chang, L., Peng, H., & Hu, B. (2022) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2022.3208238 · Cited by 3
“PAC is perhaps the most commonly used method of computing CFC [39], and its significance has been confirmed through many physiology studies [40], [41] and theoretical simulations [42], [43], [44].”
MethodReakkamnuan, C., Cheaha, D., Kumarnsit, E., & Samerphob, N. (2023) · In Vivo · doi:10.21873/invivo.13080 · Cited by 3
Phase of neural oscillations as a reference frame for attention-based routing in visual cortex
Aboutorabi, E., Ray, S. B., Kaping, D., Shahbazi, F., Treue, S., & Esghaei, M. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102563 · Cited by 3
Machine Intelligence-Based Epileptic Seizure Forecasting
Grigorovsky, V., Tufa, U., Jacobs, D., & Bardakjian, B. L. (2020) · Springer eBooks · doi:10.1007/978-3-030-43395-6_19 · Cited by 3
Scientific Recordings in Deep Brain Stimulation
Cohen, M. X. (2012) · Springer eBooks · doi:10.1007/978-3-642-30991-5_17 · Cited by 3
Extraction of functional information from ongoing brain electrical activity
Besserve, M., & Martinerie, J. M. (2011) · IRBM · doi:10.1016/j.irbm.2011.01.001 · Cited by 3
Raviv, H., Mashal, N., & Meiron, O. (2025) · Scientific Reports · doi:10.1038/s41598-025-29148-2 · Cited by 2
Moghadam, M., Towhidkhah, F., & Gharibzadeh, S. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.972985 · Cited by 2
“Therefore place cells can represent instantaneous, previous, and upcoming locations as well as trajectories (Lithfous et al., 2013).”
BackgroundVisuo-Motor Tasks in a Brain-Computer Interface Analysis
Logar, V., & Beli, A. (2011) · InTech eBooks · doi:10.5772/13556 · Cited by 2
Working memory dysfunction in stroke patients
Qureshi, A. Y., & Hillis, A. E. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139058988.024 · Cited by 4
Masquelier, T. (2014) · Network Computation in Neural Systems · doi:10.3109/0954898x.2014.881574 · Cited by 3
“…reflect differences in the slow signal magnitudes (Thorpe 1990; Buzsáki and Chrobak 1995; Hopfield 1995; Mehta et al. 2002; Brody and Hopfield 2003; Buzsáki and Draguhn 2004; Lisman 2005; VanRullen, Guyonneau, and Thorpe 2005; Schaefer et al. 2006; Markowitz et al. 2008; Masquelier et al. 2009b).”
BackgroundNoninvertibility, Chaotic Coding, and Chaotic Multiplexity of Synaptically Modulated Neural Firing
Yoram Baram, A. (2011) · Neural Computation · doi:10.1162/neco_a_00239 · Cited by 2
“…2001; Neural Computation 24, 676–699 (2012) c© 2011 Massachusetts Institute of Technology Wark, Fairhall & Rieke, 2009; Lundstrom & Fairhall, 2006), which enhances the coding and information transmission capacity (Bullock, 1997, Lisman, 2005; Kayser, Montemurro, Logothetis, & Panzeri, 2009).”
Losacco, J. T., George, N. M., Hiratani, N., & Restrepo, D. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.613635 · Cited by 2
“…of the theta oscillations [called phase-amplitude coupling, or PAC (Tort et al., 2010)], is thought to convey different information based on which phase in the theta wave the gamma or beta oscillation occurs (O’Keefe and Recce, 1993; Skaggs et al., 1996; Buzsaki and Draguhn, 2004; Lisman, 2005).”
BackgroundEstimating Phase Amplitude Coupling between Neural Oscillations Based on Permutation and Entropy
Yin, L., Fan, T., Hu, R., Li, Z., & Yin, F. (2021) · Entropy · doi:10.3390/e23081070 · Cited by 2
Cell-type-specific contributions to theta-gamma coupled rhythms in the hippocampus
Sengupta, S., Talidou, A., Lefebvre, J., & Skinner, F. K. (2024) · Network Neuroscience · doi:10.1162/netn_a_00427 · Cited by 4
“It has been suggested that such theta-gamma coupling is a general coding scheme with information processing implications (Colgin, 2015; Jensen & Colgin, 2007; Lisman, 2005).”
Hippocampal Theta-Based Brain Computer Interface
Hoffmann, L. C., Cicchese, J. J., & Berry, S. D. (2014) · Intelligent systems reference library · doi:10.1007/978-3-319-10978-7_6 · Cited by 2
Computational Models of Memory Formation in Healthy and Diseased Microcircuits of the Hippocampus
Cutsuridis, V. (2017) · Wiley eBooks · doi:10.1002/9781119159193.ch24 · Cited by 2
Nadalin, J. K., Martinet, L., Blackwood, E. B., Lo, M.-C., Widge, A. S., Cash, S. S., Eden, U. T., & Kramer, M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/519470 · Cited by 3
Quantum Gravity Consciousness Could Cause Brain Controlled Atemporal Evolution of Space-TimePreprint
Guillemant, P., & Guyon, A. (2024) · Qeios · doi:10.32388/g7a24r · Cited by 1
Theta-Gamma Phase-Amplitude Coupling Supports Working Memory Performance in the Human HippocampusPreprint
Salimpour, Y., & Anderson, W. S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.24.586454 · Cited by 2
Makki, A. S., Hemington, K. S., Rogachov, A., Cheng, J. C., Bosma, R. L., Osborne, N. R., El‐Sayed, R., Inman, R. D., Dunkley, B. T., & Davis, K. D. (2026) · Journal of Neurophysiology · doi:10.1152/jn.00492.2025 · Cited by 1
STDP produces robust oscillatory architectures that exhibit precise collective synchronization
Bhowmik, D., & Shanahan, M. (2013) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2013.6707012 · Cited by 1
Haab, L., Mortezapouraghdam, Z., Schubert, J. K., Szczygielski, J., Schwerdtfeger, K., & Strauß, D. J. (2013) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2013.6695983 · Cited by 1
“and low-frequency oscillations as general mechanism of stimulus encoding [1].”
BackgroundExecutive and memory disorders
Godefroy, O. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139058988.022 · Cited by 1
Nokia, M. S., Waselius, T., & Penttonen, M. (2023) · Hippocampus · doi:10.1002/hipo.23551 · Cited by 1
How Can I Identify Stimulus-Driven Neural Activity Patterns in Multi-Patient ECoG Data?
Manning, J. R. (2023) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-031-20910-9_48 · Cited by 1
Non-monotonic accumulation of spike time variance during membrane potential oscillations
Kuebler, E. S., Calderini, M., Longtin, A., Bent, N., Vincent‐Lamarre, P., & Thivierge, J. (2018) · Biological Cybernetics · doi:10.1007/s00422-018-0782-x · Cited by 1
“A classic example of such spike-phase coding is the wellstudied hippocampal phase precession, where the phase of individual action potentials relates to the animal’s location along a single spatial dimension (Harris 2005; Lisman 2005) (Fig.”
BackgroundParallel Neural Multiprocessing with Gamma Frequency Latencies
Zhang, R., & Ballard, D. H. (2020) · Neural Computation · doi:10.1162/neco_a_01301 · Cited by 1
“While a complete account of such a mechanism is very much a research topic, rapidly increasing evidence suggests that lower frequencies–theta, alpha, and beta– may play this role (Michalareas et al., 2016; Van Kerkoerle et al., 2014; van Pelt et al., 2016; Igarashi, Lu, Colgin, Moser, & Moser, 2014; Lisman, 2005; Lism…”
BackgroundCortical mechanisms of memory formation and readout
Freeman, W. (2009) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2009.5178646 · Cited by 1
Mindfulness predicts efficient cognitive control: an EEG study of theta-band neural oscillations
Valadez, E. A. (2025) · Library, Museums and Press - UDSpace (University of Delaware) · doi:10.58088/ar7v-4778 · Cited by 1
Gamma synchronization of the hippocampal spatial map---topological modelPreprint
Basso, E., Arai, M., & Dabaghian, Y. A. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1603.06248 · Cited by 1
“the θ-phase precession φc into the γ-cycles, in accordance with the θ-γ theory [35, 38, 53].”
Neuronal resonance can be generated independently at distinct levels of organizationPreprint
Stark, E., & Rotstein, H. G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.26.117309 · Cited by 1
“This framework will enable studies of neuronal networks where the interactions between periodic inputs, intrinsic currents and network effects are important (Lisman, 2005; Iaccarino et al., 2016; Helfrich et al., 2019), different networks entrain each other (Sirota et al.”
BackgroundBoeijinga, P. H. (2010) · Springer eBooks · doi:10.1007/978-3-540-68706-1_288 · Cited by 1
Moradi, F., van den Berg, M., Mirjebreili, S. M., Kosten, L., Verhoye, M., Amiri, M., & Keliris, G. A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.01.498373 · Cited by 1
Poulter, S. L., de Cothi, W., Barry, C., & Lever, C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.05.543704 · Cited by 1
“4 50 degrees later than A in the theta cycle in eastwards motion), with theta-compressed representations suiting spike-timing related plasticity (e.g. Burgess et al, 1994; Skaggs et al, 1996; Lisman, 2005; Dragoi & Buzsaki, 2006).”
BackgroundMethodInfluentialPhase-precession-like Effect in the Anterior Insula Cortex during Reward ExpectancyPreprint
Yang, L., Lehongre, K., Ye, H., Yu, X., Navarro, V., Cheng, S., Axmacher, N., Wang, S., & Zhang, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.19.558205 · Cited by 1
Phase-Dependent Stimulation of the Hippocampus: A Computational Modeling ApproachPreprint
Lee, H.-P., Arginteanu, T., Kudela, P., Anderson, W. S., & Salimpour, Y. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.14.613022 · Cited by 1
Relating ECoG and the local field potential to underlying mechanisms
Vermaas, M. (2014) · Utrecht University Repository (Utrecht University)
Neocortical ECoG Images Formed by Learning
Freeman, W. J., & Quiroga, R. Q. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4984-3_9
Moya, A., & Manuel, J. (2011) · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
Fuentemilla, L. (2007) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)
Malkki, H. A. I. (2013) · UvA-DARE (University of Amsterdam)
White, D. (2013) · Swinburne figshare (Swinburne University of Technology) · doi:10.25916/sut.26269438
Phase coding of information in the human brain
Logar, V., Škrjanc, I., Naik, A., Brežan, S., Koritnik, B., & Zidar, J. (2008) · International Conference on Biomedical Engineering
Theta Dynamics: Speed, Acceleration and Contribution to Cognition
Long, L. L. (2012) · OpenCommons - UConn (University of Connecticut)
Caracterização eletrofisiológica da circuitaria hipocampal durante o ciclo sono-vigília do rato
Schenberg, E. E. (2010) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.47.2010.tde-08092010-144121
Gamma Oscillations in the Hippocampus
Zhu, G., Liu, Y., Wang, Y., Baudry, M., Lindsey, B. G., Moreno, A., Canals, S., Interactions, N., Sinha, M., & Narayanan, R. (2015)
Generators Task: Evidence for Local Theta Oscillations in Human Cortex During a
Raghavachari, S., Lisman, J. E., Tully, M., Madsen, J. R., Bromfield, E. B., Zhang, L., Lukankin, V., Marwa, I., Sugumar, S., Dian, J. A., et al. (2006)
The role of the hippocampal theta activity in classical eyeblink conditioning in rabbits
Nokia, M. S. (2009) · Jyväskylä University Digital Archive (University of Jyväskylä)
Prefrontal-thalamo-hippocampal circuit contributions to spatial working memory
Hallock, H. L. (2024) · Library, Museums and Press - UDSpace (University of Delaware) · doi:10.58088/91j6-wc29
Wagatsuma, H. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511994838.013
How neuronal oscillations code for temporal statistics
ten Oever, S. (2016) · doi:10.26481/dis.20160609so
The Regulation of Neuronal Excitability and Nociception by Tonic GABAergic Inhibition
Bonin, R. P. (2012) · TSpace (University of Toronto)
Oscillations in routing and chaos
Palmigiano, A. (2017) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-6513
Hilton, T. (2017) · TSpace (University of Toronto)
Estimation of the Wrist Movements from EEG Signals using a Brain-Computer Interface
Logar, V., & Belič, A. (2010) · Control and Intelligent Systems · doi:10.2316/j.2010.216.680-0123
The Role of Interneurons in Cognitive Impairment in Schizophrenia
Murueta‐Goyena, A., Lafuente, J. V., & Odriozola, H. B. (2018) · Springer eBooks · doi:10.1007/978-3-319-95360-1_17
Characterization of dynamical neural activity by means of EEG data: application to schizophrenia
Matarranz, A. B. (2017) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · doi:10.35376/10324/39719
“CFC patterns were firstly evaluated on mice and non-human primates (Lakatos et al., 2005; Lisman, 2005; Tort et al., 2009, 2008).”
BackgroundMethodCell Type-Specific Activity During Hippocampal Network Oscillations In Vitro
Gloveli, T., Booker, S. A., Kopell, N., & Dugladze, T. (2018) · Springer series in computational neuroscience · doi:10.1007/978-3-319-99103-0_8
Wan, H., Li, Y., & Zhao, K. (2018) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei.2018.8633192
“It has been reported that low theta band represent locations in space and working memory [10].”
BackgroundInvestigating the role of normal and abnormal beta-amyloid processing in cognition
Freeman, T. J. (2019) · ORCA Online Research @Cardiff (Cardiff University)
Tanninen, S. E. (2018) · TSpace (University of Toronto)
A Computational Model of Seizure Termination and Postictal Generalized EEG Suppression
Liu, Y. (2019) · TSpace (University of Toronto)
Metadata
- Authors
- Lisman, J.
- Affiliations
- Brandeis University (US)
- Corresponding author
- Lisman, John
- ORCID
- Lisman, John
- Venue
- Hippocampus
- Publisher
- Wiley
- Published
- 2005-01
- Volume
- 15
- Issue
- 7
- Pages
- 913-922
- ISSN
- 1050-9631 (ISSN-L)
- 1098-1063
- OpenAlex
- W2084385675
- Cited by
- 435
- References
- 56
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 25 · 2023: 15 · 2022: 24 · 2021: 13 · 2020: 21 · 2019: 17 · 2018: 25 · 2017: 29 · 2016: 16 · 2015: 17 · 2014: 24 · 2013: 28 · 2012: 34
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Hippocampus (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- theta-gamma oscillations, phase precession, place cells, neural coding, gamma oscillations, theta oscillations, working memory, sensory integration
- MeSH terms
- Action Potentials, Animals, Biological Clocks, Hippocampus, Humans, Memory, Models, Neurological, Neural Pathways, Synaptic Transmission, Neurons, Theta Rhythm
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review