Browse by UCL people
Group by: Type | Date
Number of items: 46.
Article
Berkes, P;
Turner, RE;
Sahani, M;
(2009)
A Structured Model of Video Reproduces Primary Visual Cortical Organisation.
PLOS COMPUT BIOL
, 5
(9)
, Article e1000495. 10.1371/journal.pcbi.1000495.
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Chadwick, Angus;
Khan, Adil G;
Poort, Jasper;
Blot, Antonin;
Hofer, Sonja B;
Mrsic-Flogel, Thomas D;
Sahani, Maneesh;
(2022)
Learning shapes cortical dynamics to enhance integration of relevant sensory input.
Neuron
10.1016/j.neuron.2022.10.001.
(In press).
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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
, Article 15027. 10.1038/ncomms15027.
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Duncker, L;
Sahani, M;
(2021)
Dynamics on the manifold: Identifying computational dynamical activity from neural population recordings.
Current Opinion in Neurobiology
, 70
pp. 163-170.
10.1016/j.conb.2021.10.014.
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Ferrè, ER;
Sahani, M;
Haggard, P;
(2016)
Subliminal stimulation and somatosensory signal detection.
Acta Psychologica
, 170
pp. 103-111.
10.1016/j.actpsy.2016.06.009.
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Galgali, AR;
Sahani, M;
Mante, V;
(2023)
Residual dynamics resolves recurrent contributions to neural computation.
Nature Neuroscience
, 26
pp. 326-338.
10.1038/s41593-022-01230-2.
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Garrido, MI;
Sahani, M;
Dolan, RJ;
(2013)
Outlier responses reflect sensitivity to statistical structure in the human brain.
PLoS Computational Biology
, 9
(3)
, Article e1002999. 10.1371/journal.pcbi.1002999.
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Gothner, T;
Gonçalves, PJ;
Sahani, M;
Linden, JF;
Hildebrandt, KJ;
(2021)
Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli.
Cerebral Cortex
, 31
(5)
pp. 2364-2381.
10.1093/cercor/bhaa347.
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Hildebrandt, KJ;
Sahani, M;
Linden, JF;
(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
, Article 95. 10.3389/fncir.2017.00095.
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Jerjian, SJ;
Sahani, M;
Kraskov, A;
(2020)
Movement initiation and grasp representation in premotor and primary motor cortex mirror neurons.
eLife
, 9
, Article e54139. 10.7554/eLife.54139.
(In press).
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Khan, AG;
Poort, J;
Chadwick, A;
Blot, A;
Sahani, M;
Mrsic-Flogel, TD;
Hofer, SB;
(2018)
Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex.
Nature Neuroscience
, 21
(6)
pp. 851-859.
10.1038/s41593-018-0143-z.
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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.
Nature Neuroscience
, 22
(2)
pp. 256-264.
10.1038/s41593-018-0308-9.
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Matsuo, Yutaka;
LeCun, Yann;
Sahani, Maneesh;
Precup, Doina;
Silver, David;
Sugiyama, Masashi;
Uchibe, Eiji;
(2022)
Deep learning, reinforcement learning, and world models.
Neural Networks
, 152
pp. 267-275.
10.1016/j.neunet.2022.03.037.
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Meyer, AF;
Poort, J;
O'Keefe, J;
Sahani, M;
Linden, JF;
(2018)
A Head-Mounted Camera System Integrates Detailed Behavioral Monitoring with Multichannel Electrophysiology in Freely Moving Mice.
Neuron
, 100
(1)
pp. 46-60.
10.1016/j.neuron.2018.09.020.
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Meyer, AF;
Williamson, RS;
Linden, JF;
Sahani, M;
(2017)
Models of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation.
Front Syst Neurosci
, 10
, Article 109. 10.3389/fnsys.2016.00109.
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O'Shea, DJ;
Trautmann, E;
Chandrasekaran, C;
Stavisky, S;
Kao, JC;
Sahani, M;
Ryu, S;
... Shenoy, KV; + view all
(2017)
The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces.
Experimental Neurology
, 287
(Pt 4)
pp. 437-451.
10.1016/j.expneurol.2016.08.003.
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Pachitariu, M;
Lyamzin, DR;
Sahani, M;
Lesica, NA;
(2015)
State-dependent population coding in primary auditory cortex.
J Neurosci
, 35
(5)
pp. 2058-2073.
10.1523/JNEUROSCI.3318-14.2015.
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Poort, J;
Wilmes, KA;
Blot, A;
Chadwick, A;
Sahani, M;
Clopath, C;
Mrsic-Flogel, TD;
... Khan, AG; + view all
(2021)
Learning and attention increase visual response selectivity through distinct mechanisms.
Neuron
10.1016/j.neuron.2021.11.016.
(In press).
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Poort, J;
Khan, AG;
Pachitariu, M;
Nemri, A;
Orsolic, I;
Krupic, J;
Bauza, M;
... Hofer, SB; + view all
(2015)
Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex.
Neuron
, 86
(6)
pp. 1478-1490.
10.1016/j.neuron.2015.05.037.
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Stringer, C;
Pachitariu, M;
Steinmetz, NA;
Okun, M;
Bartho, P;
Harris, KD;
Sahani, M;
(2016)
Inhibitory control of correlated intrinsic variability in cortical networks.
Elife
, 5
, Article e19695. 10.7554/eLife.19695.
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Trautmann, EM;
O'Shea, DJ;
Sun, X;
Marshel, JH;
Crow, A;
Hsueh, B;
Vesuna, S;
... Shenoy, KV; + view all
(2021)
Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface.
Nature Communications
, 12
(1)
, Article 3689. 10.1038/s41467-021-23884-5.
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Williamson, RS;
Sahani, M;
Pillow, JW;
(2019)
Correction: The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction.
PLoS Computational Biology
, 15
(6)
, Article e1007139. 10.1371/journal.pcbi.1007139.
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Williamson, RS;
Ahrens, MB;
Linden, JF;
Sahani, M;
(2016)
Input-Specific Gain Modulation by Local Sensory Context Shapes Cortical and Thalamic Responses to Complex Sounds.
Neuron
, 91
(2)
pp. 467-481.
10.1016/j.neuron.2016.05.041.
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Williamson, RS;
Sahani, M;
Pillow, JW;
(2015)
The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction.
PLOS Computational Biology
, 11
(4)
, Article e1004141. 10.1371/journal.pcbi.1004141.
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Proceedings paper
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Adam, V;
Hensman, J;
Sahani, M;
(2016)
Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference.
In:
Proceedings of MLSP2016.
IEEE
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Bohner, G;
Sahani, M;
(2016)
Convolutional higher order matching pursuit.
In:
Proceedings of MLSP2016.
IEEE
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Douglas, L;
Zarov, I;
Gourgoulias, K;
Lucas, C;
Hart, C;
Baker, A;
Sahani, M;
... Johri, S; + view all
(2017)
A Universal Marginalizer for Amortized Inference in Generative Models.
In:
Proceedings of 31st Conference on Neural Information Processing Systems (NIPS 2017),.
NIPS: Long Beach, CA, USA.
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Duncker, L;
Bohner, G;
Boussard, J;
Sahani, M;
(2019)
Learning interpretable continuous-time models of latent stochastic dynamical systems.
In: Salakhutdinov, Ruslan and Chaudhuri, Kamalika, (eds.)
Proceedings of the 36th International Conference on Machine Learning (ICML 2019).
PMLR (Proceedings of Machine Learning Research): Long Beach, CA, USA.
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Duncker, L;
Driscoll, L;
Shenoy, K;
Sahani, M;
Susillo, D;
(2021)
Organizing recurrent network dynamics by task-computation to enable continual learning.
In:
Advances in Neural Information Processing Systems 33.
NeurIPS
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Duncker, L;
Sahani, M;
(2018)
Temporal alignment and latent Gaussian process factor inference in population spike trains.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Proceedings of Conference on Neural Information Processing Systems 31 (NIPS 2018).
Neural Information Processing Systems (NIPS): Montreal, Canada.
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Li, W;
Sahani, M;
(2019)
A neurally plausible model for online recognition and postdiction.
In:
(Proceedings) Advances in Neural Information Processing Systems 32 (NIPS 2019).
NIPS Proceedings
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Moskovitz, Ted;
Hromadka, Samo;
Touati, Ahmed;
Borsa, Diana;
Sahani, Maneesh;
(2023)
A State Representation for Diminishing Rewards.
In:
Proceedings of the Thirty-seventh Annual Conference on Neural Information Processing Systems.
(pp. pp. 1-38).
NeurIPS: San Diego, CA, USA.
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Park, M;
Jitkrittum, W;
Qamar, A;
Szabo, Z;
Buesing, L;
Sahani, M;
(2014)
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM).
In:
Advances in Neural Information Processing Systems 28 (NIPS 2015).
Neural Information Processing Systems Foundation: Montreal, Canada.
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Rutten, V;
Bernacchia, A;
Sahani, M;
Hennequin, G;
(2020)
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data.
In:
Advances in Neural Information Processing Systems 33 (NeurIPS 2020).
NeurIPS
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Sahani, M;
Bohner, G;
Meyer, A;
(2016)
Score-matching estimators for continuous-time point-process regression models.
In:
Proceedings of MLSP2016.
IEEE
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Salmasi, M;
Sahani, M;
(2022)
Learning neural codes for perceptual uncertainty.
In:
2022 IEEE International Symposium on Information Theory (ISIT).
(pp. pp. 2463-2468).
IEEE: Espoo, Finland.
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Singh, R;
Sahani, M;
Gretton, A;
(2019)
Kernel Instrumental Variable Regression.
In: Wallach, H and Larochelle, H and Beygelzimer, A and d'Alché-Buc, F and Fox, E and Garnett., R, (eds.)
Proceedings of Advances in Neural Information Processing Systems 32 (NIPS 2019).
NIPS Proceedings
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Soulat, H;
Keshavarzi, S;
Margrie, TW;
Sahani, M;
(2021)
Probabilistic Tensor Decomposition of Neural Population Spiking Activity.
In: Ranzato, M and Beygelzimer, A and Dauphin, Y and Liang, PS and Wortman Vaughan, J, (eds.)
Advances in Neural Information Processing Systems 34 (NeurIPS 2021).
(pp. pp. 15969-15980).
NeurIPS
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Vertes, E;
Sahani, M;
(2019)
A neurally plausible model learns successor representations in partially observable environments.
In:
Proceedings of 33rd Conference on Neural Information Processing Systems (NeurIPS 2019).
NIPS Proceedings: Vancouver, Canada.
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Vertes, E;
Sahani, M;
(2018)
Flexible and accurate inference and learning for deep generative models.
In:
Proceedings of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018),.
Neural Information Processing Systems (NIPS): Montréal, Canada..
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Walker, william;
Soulat, hugo;
Yu, changmin;
Sahani, Maneesh;
(2023)
Unsupervised representation learning with recognition-parametrised probabilistic models.
In:
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics.
Proceedings of Machine Learning Research: Valencia, Spain Proceedings of Machine Learning Research.
(In press).
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Wenliang, LK;
Moskovitz, T;
Kanagawa, H;
Sahani, M;
(2020)
Amortised learning by wake-sleep.
In:
Proceedings of the 37th International Conference on Machine Learning,.
(pp. pp. 10167-10178).
PMLR: Proceedings of Machine Learning Research
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Yu, Changmin;
Soulat, hugo;
Burgess, neil;
Sahani, Maneesh;
(2022)
Structured recognition for generative models with explaining away.
In: Koyejo, S and Mohamed, M and Agarwal, A and Belgrave, D and Cho, K and Oh, A, (eds.)
Advances in Neural Information Processing Systems 35 (NeurIPS 2022).
NeurIPS Proceedings: New Orleans, LA, USA.
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Working / discussion paper
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Yu, Changmin;
Burgess, neil;
Sahani, Maneesh;
Gershman, Samuel J;
(2023)
Successor-Predecessor Intrinsic Exploration.
OpenReview.net: Amherst, MA, United States.
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Poster
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Park, M;
Jitkrittum, W;
Qamar, A;
Szabo, Z;
Buesing, L;
Sahani, M;
(2015)
Bayesian Manifold Learning: Locally Linear Latent Variable Model (LL-LVM).
Presented at: Quinquennial Review Symposium, London, United Kingdom.
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Thesis
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Soldado Magraner, Joana;
(2018)
Linear Dynamics of Evidence Integration in Contextual Decision Making.
Doctoral thesis (Ph.D), UCL (University College London).
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