Transformation of perception from sensory to motor cortex
Open accessAbstract
To better understand how a stream of sensory data is transformed into a percept, we examined neuronal activity in vibrissal sensory cortex, vS1, together with vibrissal motor cortex, vM1 (a frontal cortex target of vS1), while rats compared the intensity of two vibrations separated by an interstimulus delay. Vibrations were "noisy," constructed by stringing together over time a sequence of velocity values sampled from a normal distribution; each vibration's mean speed was proportional to the width of the normal distribution. Durations of both stimulus 1 and stimulus 2 could vary from 100 to 600 ms. Psychometric curves reveal that rats overestimated the longer-duration stimulus-thus, perceived intensity of a vibration grew over the course of hundreds of milliseconds even while the sensory input remained, on average, stationary. Human subjects demonstrated the identical perceptual phenomenon, indicating that the underlying mechanisms of temporal integration generalize across species. The time dependence of the percept allowed us to ask to what extent neurons encoded the ongoing stimulus stream versus the animal's percept. We demonstrate that vS1 firing correlated with the local features of the vibration, whereas vM1 firing correlated with the percept: the final vM1 population state varied, as did the rat's behavior, according to both stimulus speed and stimulus duration. Moreover, vM1 populations appeared to participate in the trace of the percept of stimulus 1 as the rat awaited stimulus 2. In conclusion, the transformation of sensory data into the percept appears to involve the integration and storage of vS1 signals by vM1.
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Serial transformation of sensory inputs along bottom-up hierarchical pathways has been observed in rodents engaged in whisker-discrimination tasks, with increasingly stronger association with perceptual choice in S2 and premotor areas rather than wS1.
“Serial transformation of sensory inputs along bottom–up hierarchical pathways has been observed in rodents engaged in whisker-discrimination tasks (8, 9) with an increasingly stronger association with perceptual choice in S2 (10, 11) and premotor areas (12–14) rather than whisker-related wS1 (9).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [9]
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“participants performing a similar task (vibrotactile stimulation to the finger) [8].”
BackgroundInfluentialContribution of spike timing to the neural code: from fast to slow timescales
Panzeri, S., Engel, N. M., & Celotto, M. (2026) · Biological Cybernetics · doi:10.1007/s00422-026-01042-8 · Cited by 4 · see citing works
“Comparable findings of longer information consistency timescales in association or decision areas, with respect to sensory areas, have been reported in tactile discrimination experiments (Fassihi et al. 2017).”
Constraints on the design of neuromorphic circuits set by the properties of neural population codes
Panzeri, S., Janotte, E., Pequeño-Zurro, A., Bonato, J., & Bartolozzi, C. (2023) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/acaf9c · Cited by 8 · see citing works
“Comparable findings of longer information consistency timescales in association or decision areas, with respect to sensory areas, have been reported in tactile discrimination experiments [100].”
BackgroundArmstrong, A. G., & Vlasov, Y. A. (2025) · Journal of Neuroscience · doi:10.1101/2025.02.17.638764 · Cited by 3 · see citing works
“…von Heimendahl et al., 2007; O'Connor et al., 2010; Miyashita and Feldman, 2012; Feldmeyer et al., 2013; Guo et al., 2014a; Burgess et al., 2017; Fassihi et al., 2017; Chakrabarti and Schwarz, 2018; Hong et al., 2018; Odoemene et al., 2018; Ryan et al., 2022; Waiblinger et al., 2022; Diamond…”
The sensory code within sense of timePreprint
Reinartz, S., Fassihi, A., Paz, L., Pulecchi, F., Gigante, M., & Diamond, M. E. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.29.454157 · Cited by 3 · see citing works
“PP�kk(ii)�tt� = ffrr ii(tt)kkii ee−ffrr (ii)(tt) kk! (5)”
Self-citationDivergent sensory processing converges in frontal cortex for a planned motor responsePreprint
Esmaeili, V., Tamura, K., Muscinelli, S., Modirshanechi, A., Boscaglia, M., Lee, A. B., Oryshchuk, A., Foustoukos, G., Liu, Y., Crochet, S., et al. (2020) · bioRxiv · doi:10.1101/2020.10.06.326678 · Cited by 3 · see citing works
“…delay period activity in broad regions of frontal cortex (Chabrol et al., 2019; Chen et al., 2017; Erlich et al., 2011; Esmaeili and Diamond, 2019; Fassihi et al., 2017; Funahashi et al., 1989; Fuster and Alexander, 1971; Guo et al., 2014; Li et al., 2015; Makino et al., 2017; Tanji and Evarts,…”
Diatom Signaling: A Novel Channel Type Identified
Hedrich, R. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.038 · Cited by 3 · see citing works
Cortical population codes for embedding sensory inputs into the prior contextPreprint
Hachen, I., Reinartz, S., Stroligo, A., Pequeño-Zurro, A., & Diamond, M. E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.27.707941 · Cited by 2 · see citing works
“…cortical relay for whisker kinematics, while vM1 – a main frontal target of vS1 ( 28 – 32 ) – contains whisker-encoding neurons ( 28 , 29 ) and is involved in sensorimotor control ( 33 , 34 ), orienting ( 35 – 37 ), delayed responding ( 37 , 38 ), and perceptual decision-making ( 39 , 40 , 29 ).”
InfluentialSelf-citationHistory bias and its perturbation of the stimulus representation in the macaque prefrontal cortex
Benozzo, D., Ferrucci, L., Ceccarelli, F., & Genovesio, A. (2024) · bioRxiv · doi:10.1113/jp288070 · Cited by 2 · see citing works
“Evidence of this bias has been described across various domains: in the auditory system (Akrami et al., 2018; Raviv et al., 2014), the visual system (Olkkonen et al., 2014) and the somatosensory system (Fassihi et al., 2017).”
Bandet, M. V., Dong, B., & Winship, I. R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0236684 · Cited by 2 · see citing works
“Within the vibrissal sensory cortex of rodents, the perceived intensity of oscillatory stimuli grows over the course of longer stimulus durations [47].”
BackgroundNeural correlates of perceptual decision-making in the primary somatosensory cortex
Armstrong, A. G., & Vlasov, Y. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2514107123 · Cited by 1 · see citing works
“Serial transformation of sensory inputs along bottom–up hierarchical pathways has been observed in rodents engaged in whisker-discrimination tasks (8, 9) with an increasingly stronger association with perceptual choice in S2 (10, 11) and premotor areas (12–14) rather than whisker-related wS1 (9).”
Distinct Orbitofrontal Feedback Signals Shape Sensory Behavioral Strategies during Flexible LearningPreprint
Teutsch, J., Rao, R., Humphries, M. D., Maggi, S., & Banerjee, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.15.737076
Seiler, J. P.-H., Cazzetta, G., Noda, T., & Rumpel, S. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117221 · Cited by 1 · see citing works
Neural Correlates of Perceptual Decision Making in Primary Somatosensory Cortex
Armstrong, A. G., & Vlasov, Y. D. (2025) · bioRxiv · doi:10.1101/2025.03.29.646003 · Cited by 1
Reliability and stability of tactile perception in the whisker somatosensory system
Sharma, H., & Azouz, R. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1344758 · Cited by 1 · see citing works
“The brain adapts by engaging regions suited for prolonged accumulation and informed decision-making (von Heimendahl et al., 2007; Zuo et al., 2011; Estebanez et al., 2012; Fassihi et al., 2017, 2020; Zuo and Diamond, 2019a,b).”
BackgroundFrom an invariant sensory code to a perceptual categorical code in second somatosensory cortexPreprint
Rossi-Pool, R., Zainos, A., Álvarez, M., & Romo, R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.31.018879 · Cited by 1 · see citing works
A Fluorescent Dye Method Suitable for Visualization of One or More Rat Whiskers.
Rigosa, J., Lucantonio, A., Noselli, G., Fassihi, A., Zorzin, E., Manzino, F., Pulecchi, F., & Diamond, M. (2018) · Bio-protocol · doi:10.21769/bioprotoc.2749 · Cited by 1
Self-citationArmstrong, A. G., & Vlasov, Y. (2026) · The Journal of Neuroscience · doi:10.1523/jneurosci.0930-25.2026 · Cited by 1 · see citing works
Independent history traces for distinct percepts derived from a single stimulusPreprint
Toso, A., & Diamond, M. (2026) · bioRxiv · doi:10.64898/2026.06.18.733184
“Within a trial, intensity and duration influenced each other bidirectionally: stronger stimuli felt longer and longer stimuli felt stronger, replicating previous work in humans and rodents 14,29,31,32,36 .”
Self-citationThe limited capacity of visual temporal integration in cats
Bao, X., Salloum, A., Gordon, S. G., & Lomber, S. (2020) · Journal of Vision · doi:10.1167/jov.20.8.28
“Fassihi et al. (2017) showed that neuronal activities after stimulus offset in vM1 (vibrissal motor cortex) but not vS1 (vibrissal sensory cortex) is modulated by both the speed and duration of tactile vibration.”
BackgroundBandet, M. V., Dong, B., & Winship, I. (2020) · bioRxiv · doi:10.1101/2020.07.14.202101
Bale, M., Bitzidou, M., Giusto, E., Kinghorn, P. F., & Maravall, M. (2020) · bioRxiv · doi:10.1101/2020.04.17.037143
“9 time [31] and acts as a goal-directed modulator or inhibitor, rather than just a generator, of motor actions [32].”
BackgroundSensory Decision-Making: Rats Sleuth Evidence through Active Sensing
Maravall, M. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.034
“This strategy is also found in rats and humans performing a tactile noise discrimination task [19] and monkeys performing discrimination of fingertip vibrotactile stimuli [20], pointing to a possible general principle.”
- Authors
- Fassihi, A., Akrami, A., Pulecchi, F., Schönfelder, V., & Diamond, M. E.
- Affiliations
- Scuola Internazionale Superiore di Studi Avanzati (IT)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Diamond, Mathew E.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 27
- Issue
- 11
- Pages
- 1585-1596.e6
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC5462624
- OpenAlex
- W2617276037
- Cited by
- 64
- References
- 32
- Citations by year
- 2026: 9 · 2025: 2 · 2024: 7 · 2023: 7 · 2022: 4 · 2021: 10 · 2020: 8 · 2019: 10 · 2018: 3 · 2017: 4
- FWCI
- 3.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- SDL (submittedVersion, cc-by-nc-nd)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Human Frontier Science Program (RG0015/2013)
- European Research Council (294498)
- MIUR (GA 280778)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- sensory-motor transformation, vibration perception, temporal integration, population coding, rats, cross-species generalization, psychometric curves
- MeSH terms
- Adult, Animals, Behavior, Animal, Female, Humans, Male, Models, Biological, Motor Cortex, Neurons, Perception, Physical Stimulation, Psychophysics, Somatosensory Cortex, Time Factors, Vibration, Vibrissae, Rats, Wistar, Rats, Young Adult, Healthy Volunteers
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