2023

Galgali, A.R., Sahani, M., Mante, V. (2023). Residual dynamics resolves recurrent contributions to neural computation. Nature Neuroscience, doi:10.1038/s41593-022-01230-2
Yu, C., Soulat, H., Burgess, N., Sahani, M. (2023). Structured recognition for generative models with explaining away.
Walker, W., Soulat, H., Yu, C., Sahani, M. (2023). Unsupervised representation learning with recognition-parametrised probabilistic models.

2022

Moskovitz, T., Miller, K., Sahani, M., Botvinick, M.M. (2022). A Unified Theory of Dual-Process Control.
Matsuo, Y., LeCun, Y., Sahani, M., Precup, D., Silver, D., Sugiyama, M., ...Morimoto, J. (2022). Deep learning, reinforcement learning, and world models. Neural Networks, doi:10.1016/j.neunet.2022.03.037
Salmasi, M., Sahani, M. (2022). Learning neural codes for perceptual uncertainty.
Chadwick, A., Khan, A.G., Poort, J., Blot, A., Hofer, S.B., Mrsic-Flogel, T.D., Sahani, M. (2022). Learning shapes cortical dynamics to enhance integration of relevant sensory input. Neuron, doi:10.1016/j.neuron.2022.10.001
Yu, C., Soulat, H., Burgess, N., Sahani, M. (2022). Structured Recognition for Generative Models with Explaining Away.
Walker, W.I., Soulat, H., Yu, C., Sahani, M. (2022). Unsupervised representational learning with recognition-parametrised probabilistic models.

2021

Trautmann, E.M., O'Shea, D.J., Sun, X., Marshel, J.H., Crow, A., Hsueh, B., ...Allen, W. (2021). Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface. Nature Communications, 12 (1), doi:10.1038/s41467-021-23884-5
Duncker, L., Sahani, M. (2021). Dynamics on the manifold: Identifying computational dynamical activity from neural population recordings.. Current Opinion in Neurobiology, 70 163-170. doi:10.1016/j.conb.2021.10.014
Poort, J., Wilmes, K.A., Blot, A., Chadwick, A., Sahani, M., Clopath, C., ...Khan, A.G. (2021). Learning and attention increase visual response selectivity through distinct mechanisms. Neuron, doi:10.1016/j.neuron.2021.11.016
Duncker, L., Driscoll, L., Shenoy, K., Sahani, M., Susillo, D. (2021). Organizing recurrent network dynamics by task-computation to enable continual learning.
Soulat, H., Keshavarzi, S., Margrie, T.W., Sahani, M. (2021). Probabilistic Tensor Decomposition of Neural Population Spiking Activity.
Gothner, T., Gonçalves, P.J., Sahani, M., Linden, J.F., Hildebrandt, K.J. (2021). Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli.. Cereb Cortex, doi:10.1093/cercor/bhaa347

2020

Wenliang, L.K., Moskovitz, T., Kanagawa, H., Sahani, M. (2020). Amortised learning by wake-sleep.
Jerjian, S.J., Sahani, M., Kraskov, A. (2020). Movement initiation and grasp representation in premotor and primary motor cortex mirror neurons.. Elife, 9 doi:10.7554/eLife.54139
Rutten, V., Bernacchia, A., Sahani, M., Hennequin, G. (2020). Non-reversible Gaussian processes for identifying latent dynamical structure in neural data.

2019

Li, W., Sahani, M. (2019). A neurally plausible model for online recognition and postdiction.
Vertes, E., Sahani, M. (2019). A neurally plausible model learns successor representations in partially observable environments.
Williamson, R.S., Sahani, M., Pillow, J.W. (2019). Correction: The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction (Plos Comput Biol, (2015), 11, 4, 10.1371/journal.pcbi.1004141). PLoS Computational Biology, 15 (6), doi:10.1371/journal.pcbi.1007139
Jonathan, P.i.l.l.o.w., Sahani, M. (2019). Editorial overview: Machine learning, big data, and neuroscience. Current Opinion in Neurobiology, 55 iii-iv. doi:10.1016/j.conb.2019.05.002
Singh, R., Sahani, M., Gretton, A. (2019). Kernel Instrumental Variable Regression.
Duncker, L., Bohner, G., Boussard, J., Sahani, M. (2019). Learning interpretable continuous-time models of latent stochastic dynamical systems.
Lieder, I., Adam, V., Frenkel, O., Jaffe-Dax, S., Sahani, M., Ahissar, M. (2019). Perceptual bias reveals slow-updating in autism and fast-forgetting in dyslexia.. Nat Neurosci, 22 (2), 256-264. doi:10.1038/s41593-018-0308-9

2018

Meyer, A.F., Poort, J., O'Keefe, J., Sahani, M., Linden, J.F. (2018). A Head-Mounted Camera System Integrates Detailed Behavioral Monitoring with Multichannel Electrophysiology in Freely Moving Mice. Neuron, doi:10.1016/j.neuron.2018.09.020
Khan, A.G., Poort, J., Chadwick, A., Blot, A., Sahani, M., Mrsic-Flogel, T.D., Hofer, S.B. (2018). Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex. Nature Neuroscience, 1-9. doi:10.1038/s41593-018-0143-z
Vértes, E., Sahani, M. (2018). Flexible and accurate inference and learning for deep generative models.
Duncker, L., Sahani, M. (2018). Temporal alignment and latent Gaussian process factor inference in population spike trains.

2017

Douglas, L., Zarov, I., Gourgoulias, K., Lucas, C., Hart, C., Baker, A., ...Johri, S. (2017). A Universal Marginalizer for Amortized Inference in Generative Models.
Meyer, A.F., Williamson, R.S., Linden, J.F., Sahani, M. (2017). Models of neuronal stimulus-response functions: Elaboration, estimation, and evaluation. Frontiers in Systems Neuroscience, 10 doi:10.3389/fnsys.2016.00109
Chambers, C., Akram, S., Adam, V., Pelofi, C., Sahani, M., Shamma, S., Pressnitzer, D. (2017). Prior context in audition informs binding and shapes simple features. NATURE COMMUNICATIONS, 8 doi:10.1038/ncomms15027
Hildebrandt, K.J., Sahani, M., Linden, J.F. (2017). The Impact of Anesthetic State on Spike-Sorting Success in the Cortex: A Comparison of Ketamine and Urethane Anesthesia. FRONTIERS IN NEURAL CIRCUITS, 11 doi:10.3389/fncir.2017.00095

2016

Bohner, G., Sahani, M. (2016). CONVOLUTIONAL HIGHER ORDER MATCHING PURSUIT.
Stringer, C., Pachitariu, M., Steinmetz, N.A., Okun, M., Bartho, P., Harris, K.D., ...Lesica, N.A. (2016). Inhibitory control of correlated intrinsic variability in cortical networks.. Elife, 5 doi:10.7554/eLife.19695
Williamson, R.S., Ahrens, M.B., Linden, J.F., Sahani, M. (2016). Input-Specific Gain Modulation by Local Sensory Context Shapes Cortical and Thalamic Responses to Complex Sounds. Neuron, doi:10.1016/j.neuron.2016.05.041
Adam, V., Hensman, J., Sahani, M. (2016). Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference.
Sahani, M., Bohner, G., Meyer, A. (2016). SCORE-MATCHING ESTIMATORS FOR CONTINUOUS-TIME POINT-PROCESS REGRESSION MODELS.
Ferrè, E.R., Sahani, M., Haggard, P. (2016). Subliminal stimulation and somatosensory signal detection.. Acta psychologica, 170 103-111.
O'Shea, D.J., Trautmann, E., Chandrasekaran, C., Stavisky, S., Kao, J., Sahani, M., ...Shenoy, K.V. (2016). The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces.. Experimental neurology, doi:10.1016/j.expneurol.2016.08.003

2015

Hildebrandt, K.J., Goncalves, P.J., Sahani, M., Linden, J.F. (2015). Activation of parvalbumin-positive interneurons enhances transient responses and changes tuning of offset responses in awake auditory cortex..
Goncalves, P.J., Linden, J.F., Sahani, M. (2015). Augmentation of A1 responses is reproduced by a recurrent circuit model combining strong excitation with synaptic depression..
Park, M., Jitkrittum, W., Qamar, A., Szabo, Z., Buesing, L., Sahani, M. (2015). Bayesian Manifold Learning: Locally Linear Latent Variable Model (LL-LVM).
Stringer, C., Patchitariu, M., Hildebrandt, K.J., Bartho, P., Harris, K.D., Linden, J.F., ...Sahani, M. (2015). Changes in inhibition explain variability in cortical activity and its role in sensory representations..
Macke, J.H., Buesing, L., Sahani, M. (2015). Estimating state and model parameters in state-space models of spike trains. In Chen, Z. (Ed.), Advanced State Space Methods for Neural and Clinical Data. Cambridge University Press.
Schulz, D.P.A., Sahani, M., Carandini, M. (2015). Five key factors determining pairwise correlations in visual cortex. JOURNAL OF NEUROPHYSIOLOGY, 114 (2), 1022-1033. doi:10.1152/jn.00094.2015
Poort, J., Khan, A.G., Pachitariu, M., Nemri, A., Orsolic, I., Krupic, J., ...Mrsic-Flogel, T.D. (2015). Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex.. Neuron, 86 1478-1490. doi:10.1016/j.neuron.2015.05.037
Meyer, A.F., Linden, J.F., Sahani, M. (2015). Local sensory context modulates responses to complex sounds in multiple brain areas along the auditory pathway..
Linden, J.F., Hildebrandt, K.J., Sahani, M. (2015). Optogenetic modulation of transient and sustained responses to tones in auditory cortex of awake mice..
Pachitariu, M., Lyamzin, D.R., Sahani, M., Lesica, N.A. (2015). State-dependent population coding in primary auditory cortex.. J Neurosci, 35 (5), 2058-2073. doi:10.1523/JNEUROSCI.3318-14.2015
Williamson, R.S., Sahani, M., Pillow, J.W. (2015). The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction.. PLOS COMPUTATIONAL BIOLOGY, 11 (4), doi:10.1371/journal.pcbi.1004141

2014

Henniges, M., Turner, R.E., Sahani, M., Eggert, J., Luecke, J. (2014). Efficient Occlusive Components Analysis. Journal of Machine Learning Research, 15 2689-2722.
Turner, R.E., Sahani, M. (2014). Time-Frequency Analysis as Probabilistic Inference. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 62 (23), 6171-6183. doi:10.1109/TSP.2014.2362100

2013

Shenoy, K.V., Sahani, M., Churchland, M.M. (2013). Cortical control of arm movements: a dynamical systems perspective.. ANNUAL REVIEW OF NEUROSCIENCE, VOL 36, 36 337-359. doi:10.1146/annurev-neuro-062111-150509
Pachitariu, M., Petitt, N., Dagleish, H., Packer, A., Haüsser, M., Sahani, M. (2013). Extracting regions of interest from biological images with convolutional sparse block coding. Advances in Neural Information Processing, 26
Garrido, M.I., Sahani, M., Dolan, R.J. (2013). Outlier responses reflect sensitivity to statistical structure in the human brain.. PLoS Computational Biology, 9 (3), doi:10.1371/journal.pcbi.1002999
Sahani, M., Williamson, R.S., Ahrens, M.B., Linden, J.F. (2013). Probabilistic methods for linear and multilinear models.. In Depireux, D.A., Elhilali, M. (Eds.), Handbook of Modern Techniques in Auditory Cortex. (pp. 193-222). Nova Science Pub Incorporated.
Pachitariu, M., Petreska, B., Sahani, M. (2013). Recurrent linear models of simultaneously-recorded neural populations.
Pachitariu, M., Sahani, M. (2013). Regularization and nonlinearities for neural language models: when are they needed?.

2012

Hildebrandt, K.J., Anderson, L.A., Sahani, M., Linden, J.F. (2012). Anaesthetic condition alters response time-course, long-range coordination of firing, and spike isolation quality in mouse auditory cortex..
Whiteley, L., Sahani, M. (2012). Attention in a bayesian framework.. FRONTIERS IN HUMAN NEUROSCIENCE, 6 doi:10.3389/fnhum.2012.00100
Turner, R.E., Sahani, M. (2012). Decomposing Signals into a Sum of Amplitude and Frequency Modulated Sinusoids using Probabilistic Inference.
Garrido, M.I., Barnes, G.R., Sahani, M., Dolan, R.J. (2012). Functional evidence for a dual route to amygdala. Current Biology, 22 (2), 129-134. doi:10.1016/j.cub.2011.11.056
Garrido, M.I., Barnes, G.R., Sahani, M., Dolan, R.J. (2012). Functional evidence for a dual route to amygdala.. CURRENT BIOLOGY, 22 (2), 129-134. doi:10.1016/j.cub.2011.11.056
Buesing, L., Macke, J.H., Sahani, M. (2012). Learning stable, regularised latent models of neural population dynamics.. Network: Computation in Neural Systems, 23 24–47.
Pachitariu, M., Sahani, M. (2012). Learning visual motion in recurrent neural networks.
Buesing, L., Macke, J.H., Sahani, M. (2012). Spectral learning of linear dynamics from generalised-linear observations with application to neural population data.
Mysore, G., Sahani, M. (2012). Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation.

2011

Shenoy, K.V., Kaufman, M.T., Sahani, M., Churchland, M.M. (2011). A dynamical systems view of motor preparation: implications for neural prosthetic system design.. ENHANCING PERFORMANCE FOR ACTION AND PERCEPTION: MULTISENSORY INTEGRATION, NEUROPLASTICITY AND NEUROPROSTHETICS, PT II, 192 33-58. doi:10.1016/B978-0-444-53355-5.00003-8
Turner, R.E., Sahani, M. (2011). Demodulation as Probabilistic Inference. IEEE Transactions on Audio, Speech and Language Processing, 19 (8), 2398-2411. doi:10.1109/TASL.2011.2135852
Christianson, G.B., Sahani, M., Linden, J.F. (2011). Depth-dependent temporal response properties in core auditory cortex.. JOURNAL OF NEUROSCIENCE, 31 (36), 12837-12848. doi:10.1523/JNEUROSCI.2863-11.2011
Petreska, B., Yu, B.M., Cunningham, J.P., Santhanam, G., Ryu, S.I., Shenoy, K.V., Sahani, M. (2011). Dynamical segmentation of single trials from population neural data.
Macke, J.H., Büsing, L., Cunningham, J.P., Yu, B.M., Shenoy, K.V., Sahani, M. (2011). Empirical models of spiking in neural populations.
Sahani, M., Whiteley, L. (2011). Modelling Cue Integration in Cluttered Environments. In Landy, M., Körding, K., Trommershäuser, J. (Eds.), Sensory Cue Integration. Oxford University Press.
Ahrens, M.B., Sahani, M. (2011). Observers exploit stochastic models of sensory change to help judge the passage of time.. CURRENT BIOLOGY, 21 (3), 200-206. doi:10.1016/j.cub.2010.12.043
Turner, R.E., Sahani, M. (2011). Probabilistic amplitude and frequency demodulation.
Afshar, A., Santhanam, G., Yu, B.M., Ryu, S.I., Sahani, M., Shenoy, K.V. (2011). Single-trial neural correlates of arm movement preparation.. NEURON, 71 (3), 555-564. doi:10.1016/j.neuron.2011.05.047
Garrido, M.I., Dolan, R.J., Sahani, M. (2011). Surprise leads to noisier perceptual decisions. i-Perception, 2 (2), 112-120. doi:10.1068/i0411
Garrido, M.I., Dolan, R.J., Sahani, M. (2011). Surprise leads to noisier perceptual decisions. i-Perception, 2 (2), 112-120. doi:10.1068/i0411
Turner, R.E., Sahani, M. (2011). Two problems with variational expectation maximisation for time-series models. In Barber, D., Cemgil, A.T., Chiappa, S. (Eds.), Inference and Learning in Dynamic Models. Cambridge University Press.

2010

Hehrmann, P., Maier, J.K., Harper, N.S., McAlpine, D., Sahani, M. (2010). Adaptive Coding for Auditory Spatial Cues.
Fleming, S.M., Whiteley, L., Hulme, O.J., Sahani, M., Dolan, R.J. (2010). Effects of category-specific costs on neural systems for perceptual decision-making.. JOURNAL OF NEUROPHYSIOLOGY, 103 (6), 3238-3247. doi:10.1152/jn.01084.2009
Englitz, B., Ahrens, M., Tolnai, S., Rübsamen, R., Sahani, M., Jost, J. (2010). Multilinear models of single cell responses in the medial nucleus of the trapezoid body.. NETWORK-COMPUTATION IN NEURAL SYSTEMS, 21 (1-2), 91-124. doi:10.3109/09548981003801996
Yu, B.M., Santhanam, G., Sahani, M., Shenoy, K.V. (2010). Neural decoding for motor and communication prostheses. In Oweiss, K.G. (Ed.), Statistical Signal Processing for Neuroscience. (p. 219-263). Elsevier.
Turner, R.E., Sahani, M. (2010). STATISTICAL INFERENCE FOR SINGLE- AND MULTI-BAND PROBABILISTIC AMPLITUDE DEMODULATION.
Churchland, M.M., Yu, B.M., Cunningham, J.P., Sugrue, L.P., Cohen, M.R., Corrado, G.S., ...Scott, B.B. (2010). Stimulus onset quenches neural variability: a widespread cortical phenomenon.. NATURE NEUROSCIENCE, 13 (3), 369-U25. doi:10.1038/nn.2501

2009

Berkes, P., Turner, R.E., Sahani, M. (2009). A structured model of video reproduces primary visual cortical organisation.. PLoS Comput Biol, 5 (9), e1000495-. doi:10.1371/journal.pcbi.1000495
Linden, J.F., Orduna, I., Ahrens, M.B., Williamson, R.S., Mercado, E., Merzenich, M.M., Sahani, M. (2009). Auditory learning involving complex sounds affects nonlinear integration within cortical responses.
Sahani, M., Ahrens, M.B., Linden, J.F. (2009). Contextual effects in neuronal responses to complex acoustic stimuli differ between areas AI and AAF.
Santhanam, G., Yu, B.M., Gilja, V., Ryu, S.I., Afshar, A., Sahani, M., Shenoy, K.V. (2009). Factor-analysis methods for higher-performance neural prostheses. Journal of Neurophysiology, doi:10.1152/jn.00097.2009
Yu, B.M., Cunningham, J.P., Santhanam, G., Ryu, S.I., Shenoy, K.V., Sahani, M. (2009). Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. Journal of Neurophysiology, doi:10.1152/jn.90941.2008
Yu, B.M., Cunningham, J.P., Santhanam, G., Ryu, S.I., Shenoy, K.V., Sahani, M. (2009). Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Lücke, J., Turner, R.E., Sahani, M., Henniges, M. (2009). Occlusive Components Analysis.

2008

Cunningham, J.P., Shenoy, K.V., Sahani, M. (2008). .
Santhanam, G., Yu, B.M., Gilja, V., Ryu, S.I., Afshar, A., Sahani, M., Shenoy, K.V. (2008). A Factor-Analysis Decoder for High-Performance Neural Prostheses.
Ahrens, M.B., Sahani, M. (2008). A new framework for the perception of elapsed time replicates stimulus-driven expansion and contraction of apparent duration.
Whiteley, L.E., Sahani, M. (2008). Attention resolves the effects of a computational bottleneck: modelling binding, precueing, and task-driven bias.
Sahani, M., Ahrens, M.B., Linden, J.F. (2008). Contextual effects in neuronal responses to complex acoustic stimuli differ between areas A1 and AAF.
Afshar, A., Yu, B.M., Santhanam, G., Ryu, S.I., Shenoy, K.V., Sahani, M. (2008). Evidence for smooth and inertial dynamics in the evolution of neural state.
Cunningham, J.P., Shenoy, K.V., Sahani, M. (2008). Fast Gaussian process methods for point process intensity estimation.
Turner, R.E., Berkes, P., Sahani, M. (2008). Finding the optimal sparse, overcomplete model for natural images by model selection.
Yu, B.M., Cunningham, J.P., Santhanam, G., Ryu, S.I., Shenoy, K.V., Sahani, M. (2008). Gaussian process factor analysis for low-dimensional single-trial analysis of neural population activity.
Whiteley, L., Sahani, M. (2008). Implicit knowledge of visual uncertainty guides decisions with asymmetric outcomes. Journal of Vision, 8 (3), 2, 1-15. doi:10.1167/8.3.2
Ahrens, M.B., Sahani, M. (2008). Inferring elapsed time from stochastic neural processes.
Ahrens, M.B., Sahani, M. (2008). Inferring Elapsed Time from Stochastic Neural Processes.
Ahrens, M.B., Paninski, L., Sahani, M. (2008). Inferring input nonlinearities in neural encoding models. Network: Computation in Neural Systems, 19 (1), 35-67.
Cunningham, J.P., Yu, B.M., Shenoy, K.V., Sahani, M. (2008). Inferring neural firing rates from spike trains using Gaussian Processes.
Cunningham, J.P., Yu, B.M., Shenoy, K.V., Sahani, M. (2008). Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes.
Hehrmann, P., Dean, I., Ahrens, M.B., Harper, N.S., McAlpine, D., Sahani, M. (2008). Level-distribution-related changes in IC responses: adaptation or instantaneous non-linearity?.
Lücke, J., Sahani, M. (2008). Maximal Causes for Non-Linear Component Extraction. Journal of Machine Learning Research, 9 1227-1267.
Turner, R.E., Sahani, M. (2008). Modeling natural sounds with modulation cascade processes.
Turner, R.E., Sahani, M. (2008). Modeling Natural Sounds with Modulation Cascade Processes.
Fleming, S., Whiteley, L.E., Hulme, O.J., Sahani, M., Dolan, R. (2008). Networks for integrating sensory evidence and value in the human brain.
Yu, B.M., Cunningham, J.P., Shenoy, K.V., Sahani, M. (2008). Neural Decoding of Movements: From Linear to Nonlinear Trajectory Model.
Ahrens, M.B., Linden, J.F., Sahani, M. (2008). Nonlinearities and contextual influences in auditory cortical responses modeled with multilinear spectrotemporal methods. Journal of Neuroscience, 28 (8), 1929-1942. doi:10.1523/jneurosci.3377-07.2008
Berkes, P., Turner, R., Sahani, M. (2008). On sparsity and overcompleteness in image models.
Berkes, P., Turner, R.E., Sahani, M. (2008). On Sparsity and Overcompleteness in Image Models.
Turner, R.E., Sahani, M. (2008). Probabilistic auditory scene analysis from natural statistics.
Hehrmann, P., Dean, I., Ahrens, M.B., Harper, N.S., McAlpine, D., Sahani, M. (2008). Separating the Impact of Non-Linearity and Parameter Change on Stimulus-Dependent Adaptation.
Christianson, G.B., Sahani, M., Linden, J.F. (2008). The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields. Journal of Neuroscience, 28 (2), 446-455. doi:10.1523/JNEUROSCI.1775-07.2007
Ahrens, M.B., Sahani, M. (2008). Timing based on stochastic neural and sensory processes.
Cunningham, J.P., Yu, B.M., Gilja, V., Ryu, S.I., Shenoy, K.V., Sahani, M. (2008). Toward Optimal Estimates of Neural Firing Rates from Spike Trains.

2007

Turner, R., Sahani, M. (2007). A maximum-likelihood interpretation for slow feature analysis. Neural Computation, 19 (4), 1022-1038. doi:10.1162/neco.2007.19.4.1022
Whiteley, L.E., Sahani, M. (2007). A unifying probabilistic computational framework for attention.
Robinson, B., Ahrens, M.B., Dean, I., McAlpine, D., Sahani, M. (2007). Adaptation to the Statistics of Sound Frequency in Mammalian Inferior Colliculus.
Ahrens, M.B., Sahani, M. (2007). Auditory alerts caused by changes in unattended sounds.
Lücke, J., Sahani, M. (2007). Generalized Softmax Networks for Non-linear Component Extraction.
Prince, S., Aghajanian, J., Mohammed, U., Sahani, M. (2007). Latent Identity Variables: Biometric Matching without Explicit Identity Estimation.
Lücke, J., Sahani, M. (2007). Learning in a Generative Model with Competitive Combination Is Approximated by (Soft-)WTA Networks.
Linden, J.F., Christianson, G.B., Sahani, M. (2007). Linear modelling of non-linear response functions: stimulus-specific STRFs without adaptation.
Yu, B.M., Kemere, C., Santhanam, G., Afshar, A., Ryu, S.I., Meng, T.H., ...Shenoy, K.V. (2007). Mixture of Trajectory Models for Neural Decoding of Goal-Directed Movements.. Journal of Neurophysiology, 97 (5), 3763-3780. doi:10.1152/jn.00482.2006
Turner, R.E., Sahani, M. (2007). Modeling sounds with Gaussian modulation cascade processes.
Ahrens, M.B., Paninski, L., Petersen, R., Linden, J.F., Sahani, M. (2007). Multilinear neural encoding models capture nonlinearities and contextual influences in cortical responses.
Yu, B.M., Cunningham, J.P., Shenoy, K.V., Sahani, M. (2007). Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models.
Gilja, V., Santhanam, G., Linderman, M.D., Afshar, A., Ryu, S.I., Meng, T.H., ...Shenoy, K.V. (2007). Optimizing spike sorting for brain computer interfaces with non-stationary waveforms.
Turner, R.E., Sahani, M. (2007). Probabilistic Amplitude Demodulation.
Berkes, P., Turner, R.E., Sahani, M. (2007). Simple and complex cells as style and content variables in a bilinear model based on temporal stability.
Churchland, M.M., Yu, B.M., Sahani, M., Shenoy, K.V. (2007). Single-trial activity patterns and the need for large-scale neural recordings. Current Opinion in Neurobiology, 17 (5), 609-618. doi:10.1016/j.conb.2007.11.001

2006

Yu, B.M., Shenoy, K.V., Sahani, M. (2006). Expectation propagation for inference in non-linear dynamical models with Poisson observations.
Yu, B.M., Afshar, A., Santhanam, G., Ryu, S., Shenoy, K.V., Sahani, M. (2006). Extracting dynamical structure embedded in neural activity..
Ahrens, M.B., Linden, J.F., Sahani, M. (2006). Multilinear spectrotemporal models for predicting auditory cortical responses.
Whiteley, L.E., Sahani, M. (2006). Observers' decisions in a simple visual task are consistent with Bayesian processing of early perceptual uncertainty.

2005

Linden, J.F., Orduna, I., Mercado, E., Merzenich, M.M., Sahani, M. (2005). Degree of linearity in auditory cortical responses is less plastic than form of linear receptive fields.
Yu, B.M., Afshar, A., Santhanam, G., Ryu, S.I., Shenoy, K.V., Sahani, M. (2005). Extracting Dynamical Structure Embedded in Motor Preparatory Activity.
Sahani, M., Yu, B.M., Afshar, A., Santhanam, G., Ryu, S.I., Shenoy, K.V. (2005). Extracting dynamical structure embedded in neural activity.
Yu, B.M., Kemere, C., Santhanam, G., Afshar, A., Ryu, S.I., Meng, T.H., ...Shenoy, K.V. (2005). Mixture of trajectory models for neural decoding of goal-directed movements.

2004

Sahani, M. (2004). A biologically plausible algorithm for reinforcement-shaped representational learning..
Santhanam, G., Sahani, M., Ryu, S., Shenoy, K. (2004). An extensible infrastructure for fully automated spike sorting during online experiments..
Linden, J.F., Orduna, I., Sahani, M., Mercado, E., Merzenich, M.M. (2004). Auditory learning involving complex sounds increases the spectrotemporal complexity of cortical receptive fields.

2003

Dayan, P., Sahani, M., Deback, G. (2003). Adaptation and Unsupervised Learning.
Sahani, M., Dayan, P. (2003). Doubly distributional population codes: simultaneous representation of uncertainty and multiplicity.. Neural Computation, 15 (10), 2255-2279. doi:10.1162/089976603322362356
Sahani, M., Linden, J.F. (2003). Evidence optimization techniques for estimating stimulus-response functions.. Advances in Neural Information Processing Systems, 15 301-308.
Sahani, M., Linden, J.F. (2003). Evidence optimization techniques for estimating stimulus-response functions.. In Becker, S., Thrun, S., Obermayer, K. (Eds.), Advances in Neural Information Processing Systems. (pp. 109-116). Cambridge, MA, USA: MIT Press.
Sahani, M., Linden, J.F. (2003). How linear are auditory cortical neurons?. Advances in Neural Information Processing Systems, 15 109-116.
Sahani, M., Linden, J.F. (2003). How linear are auditory cortical responses?. In Becker, S., Thrun, S., Obermayer, K. (Eds.), Advances in Neural Information Processing Systems. (pp. 301-308). Cambridge, MA, USA: MIT Press.
Santhanam, G., Churchland, M.M., Sahani, M., Shenoy, K.V. (2003). Local field potential activity varies with reach distance, direction, and speed in monkey pre-motor cortex..
Kemere, C., Sahani, M., Meng, T. (2003). Robust neural decoding of reaching movements for prosthetic systems.
Linden, J.F., Liu, R.C., Sahani, M., Schreiner, C.E., Merzenich, M.M. (2003). Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex. Journal of Neurophysiology, 90 (4), 2660-2675. doi:10.1152/jn.00751.2002

2002

Linden, J.F., Liu, R.C., Sahani, M., Schreiner, C.E., Merzenich, M.M. (2002). Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex.
Orduna, I., Linden, J.F., Mercado, E., Sahani, M., Merzenich, M.M., Gluck, M.A.O., ...M, M. (2002). Spectrotemporally inseparable auditory receptive fields induced by discrimination training.
Pesaran, B., Pezaris, J.S., Sahani, M., Mitra, P.P., Andersen, R.A. (2002). Temporal structure in neuronal activity during working memory in macaque parietal cortex. Nature Neuroscience, 5 (8), 805-811. doi:10.1038/nn890
Sahani, M., Linden, J.F. (2002). The components of spectrotemporal receptive fields in auditory cortex.

2001

Linden, J.F., Liu, R.C., Sahani, M., Kvale, M., Schreiner, C.E., Merzenich, M.M. (2001). Reverse-correlation analysis of receptive fields in mouse and rat auditory cortex.
Sahani, M., Linden, J.F. (2001). Robust regression and non-linear kernel methods for characterization of neuronal response functions from limited data.

2000

Sahani, M., Linden, J.F. (2000). A probabilistic framework for interpreting plasticity in cortical maps and receptive fields.

1998

Sahani, M., Pezaris, J.S., Andersen, R.A. (1998). Extracellular recording from multiple neighboring cells: A maximum-likelihood solution to the spike-separation problem.

1900

Wenliang, L.K., Sahani, M. (1900). A neurally plausible model for online recognition and postdiction in a dynamical environment. .
Park, M., Jitkrittum, W., Qamar, A., Szabo, Z., Buesing, L., Sahani, M. (1900). Bayesian Manifold Learning: Locally Linear Latent Variable Model (LL-LVM). Presented at: Quinquennial Review Symposium Gatsby Unit, London, UK.
O’Shea, D.J., Duncker, L., Goo, W., Sun, X., Vyas, S., Trautmann, E.M., ...Sahani, M. (1900). Direct neural perturbations reveal a dynamical mechanism for robust computation.
Chadwick, A., Khan, A., Poort, J., Blot, A., Hofer, S., Mrsic-Flogel, T., Sahani, M. (1900). Learning shapes cortical dynamics to enhance integration of relevant sensory input. .