2023The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networksBrian DePasquale, David Sussillo, L.F.Abbott, Mark M.ChurchlandThe geometry of cortical representations of touch in rodentsRamon Nogueira, Chris C. Rodgers, Randy M. Bruno, Stefano Fusi2022Scaling Structured Inference with RandomizationYao Fu, John P. Cunningham, Mirella LapataThe Posterior Predictive NullGemma E. Moran, John P. Cunningham, David M. BleiThe implications of categorical and category-free mixed selectivity on representational geometriesMatthew T. Kaufman, Marcus K. Benna, Mattia Rigotti, Fabio Stefanini, Stefano Fusi, Anne K. ChurchlandConverting an allocentric goal into an egocentric steering signalPires PM, Abbott L, Maimon GMechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeysA. Sanzeni, A. Palmigiano, T.H. Nguyen, J. Luo, J.J. Nassi, H. Reynolds, H. Histed, K.D. Miller, N. BrunelA Biophysical Basis for Learning and Transmitting Sensory PredictionsSalomon Z. Muller, LF Abbott, Nathaniel B. SawtellNeural dynamics and geometry for transitive inferenceKenneth Kay, Xue-Xin Wei, Ramin Khajeh, Manuel Beiran, Christopher J. Cueva, Greg Jensen, Vincent P. Ferrera, L. F. AbbottNeural representational geometry correlates with behavioral differences between monkeysValeria Fascianelli, Fabio Stefanini, Satoshi Tsujimoto, Aldo Genovesio, Stefano FusiSpecific connectivity optimizes learning in thalamocortical loopsKaushik Lakshminarasimhan, Marjorie Xie, Jeremy Cohen, Britton Sauerbrei, Adam Hantman, Ashok Litwin-Kumar, Sean EscolaMushroom body input connections form independently of sensory activity in Drosophila melanogasterTatsuya Tatz Hayashi Alexander John MacKenzie Ishani GangulyKaitlyn Elizabeth EllisHayley Marie SmihulaMiles Solomon JacobAshok Litwin-Kumar Sophie Jeanne Cécile CaronRapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensingMarcus A. Triplett, Marta Gajowa, Benjamin Antin, Masato Sadahiro, Hillel Adesnik, Liam PaninskiTask-dependent optimal representations for cerebellar learningMarjorie Xie, Samuel Muscinelli, Kameron Decker Harris, Ashok Litwin-KumarMechanisms for spontaneous symmetry breaking in developing visual cortexFumarola, F., Hein, B., Miller, K.D.Dimension of Activity in Random Neural NetworksDavid G. Clark, L.F. Abbott, Ashok Litwin-KumarNeuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysisTaiga Abe, Ian Kinsella, Shreya Saxena, E Kelly Buchanan, Joao Couto, John Briggs, Sian Lee Kitt, Ryan Glassman, John Zhou, Liam Paninski, John P CunninghamVersatile Multiple Object Tracking in Sparse 2D/3D Videos Via Diffeomorphic Image RegistrationJames Yu, Amin Nejatbakhsh, Mahdi Torkashvand, Sahana Gangadharan, Maedeh Seyedolmohadesin, Jinmahn Kim, Liam Paninski,Vivek VenkatachalamSensory Evidence Accumulation Using Optic Flow in a Naturalistic Navigation TaskPanos Alefantis, Kaushik Lakshminarasimhan, Eric Avila, Jean-Paul Noel, Xaq Pitkow and Dora E. AngelakiAction-modulated midbrain dopamine activity arises from distributed control policiesJack Lindsey, Ashok Litwin-KumarDistinguishing Learning Rules with Brain Machine InterfacesJacob P. Portes, Christian Schmid, James M. MurrayPreconditioning for Scalable Gaussian Process Hyperparameter OptimizationJonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. GardnerSignatures of rapid plasticity in hippocampal CA1 representations during novel experiencesPriestley, J.B., Bowler, J.C., Rolotti, S.V., Fusi, S., Losonczy, A.Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning RatesJacob Portes, Davis Blalock, Cory Stephenson, Jonathan FranklePosterior and Computational Uncertainty in Gaussian ProcessesJonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. CunninghamUnifying model for three forms of contextual modulation including feedback input from higher visual areasSerena Di Santo, Mario Dipoppa, Andreas Keller, Morgane Roth, Massimo Scanziani, Kenneth D. MillerMotor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activityShreya Saxena, Abigail A Russo, John Cunningham, Mark M ChurchlandThe stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillationsCaleb J Holt, Kenneth D Miller, Yashar AhmadianData Augmentation for Compositional Data: Advancing Predictive Models of the MicrobiomeElliott Gordon-Rodriguez, Thomas P. Quinn, John P. CunninghamNeural learning rules for generating flexible predictions and computing the successor representationChing Fang,Dmitriy Aronov, L.F. Abbott, Emily MackeviciusFeatured Publicationedit publication{{ name }}. . . Abstract Citation No resultsThere are no publications with the provided filters.Sort Publications ByKeyword filter: {{ filter.label }}
The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networksBrian DePasquale, David Sussillo, L.F.Abbott, Mark M.Churchland
The geometry of cortical representations of touch in rodentsRamon Nogueira, Chris C. Rodgers, Randy M. Bruno, Stefano Fusi
The implications of categorical and category-free mixed selectivity on representational geometriesMatthew T. Kaufman, Marcus K. Benna, Mattia Rigotti, Fabio Stefanini, Stefano Fusi, Anne K. Churchland
Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeysA. Sanzeni, A. Palmigiano, T.H. Nguyen, J. Luo, J.J. Nassi, H. Reynolds, H. Histed, K.D. Miller, N. Brunel
A Biophysical Basis for Learning and Transmitting Sensory PredictionsSalomon Z. Muller, LF Abbott, Nathaniel B. Sawtell
Neural dynamics and geometry for transitive inferenceKenneth Kay, Xue-Xin Wei, Ramin Khajeh, Manuel Beiran, Christopher J. Cueva, Greg Jensen, Vincent P. Ferrera, L. F. Abbott
Neural representational geometry correlates with behavioral differences between monkeysValeria Fascianelli, Fabio Stefanini, Satoshi Tsujimoto, Aldo Genovesio, Stefano Fusi
Specific connectivity optimizes learning in thalamocortical loopsKaushik Lakshminarasimhan, Marjorie Xie, Jeremy Cohen, Britton Sauerbrei, Adam Hantman, Ashok Litwin-Kumar, Sean Escola
Mushroom body input connections form independently of sensory activity in Drosophila melanogasterTatsuya Tatz Hayashi Alexander John MacKenzie Ishani GangulyKaitlyn Elizabeth EllisHayley Marie SmihulaMiles Solomon JacobAshok Litwin-Kumar Sophie Jeanne Cécile Caron
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensingMarcus A. Triplett, Marta Gajowa, Benjamin Antin, Masato Sadahiro, Hillel Adesnik, Liam Paninski
Task-dependent optimal representations for cerebellar learningMarjorie Xie, Samuel Muscinelli, Kameron Decker Harris, Ashok Litwin-Kumar
Mechanisms for spontaneous symmetry breaking in developing visual cortexFumarola, F., Hein, B., Miller, K.D.
Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysisTaiga Abe, Ian Kinsella, Shreya Saxena, E Kelly Buchanan, Joao Couto, John Briggs, Sian Lee Kitt, Ryan Glassman, John Zhou, Liam Paninski, John P Cunningham
Versatile Multiple Object Tracking in Sparse 2D/3D Videos Via Diffeomorphic Image RegistrationJames Yu, Amin Nejatbakhsh, Mahdi Torkashvand, Sahana Gangadharan, Maedeh Seyedolmohadesin, Jinmahn Kim, Liam Paninski,Vivek Venkatachalam
Sensory Evidence Accumulation Using Optic Flow in a Naturalistic Navigation TaskPanos Alefantis, Kaushik Lakshminarasimhan, Eric Avila, Jean-Paul Noel, Xaq Pitkow and Dora E. Angelaki
Action-modulated midbrain dopamine activity arises from distributed control policiesJack Lindsey, Ashok Litwin-Kumar
Distinguishing Learning Rules with Brain Machine InterfacesJacob P. Portes, Christian Schmid, James M. Murray
Preconditioning for Scalable Gaussian Process Hyperparameter OptimizationJonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner
Signatures of rapid plasticity in hippocampal CA1 representations during novel experiencesPriestley, J.B., Bowler, J.C., Rolotti, S.V., Fusi, S., Losonczy, A.
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning RatesJacob Portes, Davis Blalock, Cory Stephenson, Jonathan Frankle
Posterior and Computational Uncertainty in Gaussian ProcessesJonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham
Unifying model for three forms of contextual modulation including feedback input from higher visual areasSerena Di Santo, Mario Dipoppa, Andreas Keller, Morgane Roth, Massimo Scanziani, Kenneth D. Miller
Motor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activityShreya Saxena, Abigail A Russo, John Cunningham, Mark M Churchland
The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillationsCaleb J Holt, Kenneth D Miller, Yashar Ahmadian
Data Augmentation for Compositional Data: Advancing Predictive Models of the MicrobiomeElliott Gordon-Rodriguez, Thomas P. Quinn, John P. Cunningham
Neural learning rules for generating flexible predictions and computing the successor representationChing Fang,Dmitriy Aronov, L.F. Abbott, Emily Mackevicius
