Jeffrey M. Beck

发表

Competing theories of probabilistic computations in the brain.

Jeffrey M. Beck, Ralf M. Haefner, Xaq Pitkow, 2020 .

Optimal integration of information across space in homogeneous and heterogeneous search displays: data and neural implementation

Wei Ji Ma, Alexandre Pouget, Vidhya Navalpakkam, 2010 .

Learning receptive fields using predictive feedback

Dana H. Ballard, Constantin Rothkopf, Jeffrey M. Beck, 2006, Journal of Physiology-Paris.

Author response: Statistical structure of locomotion and its modulation by odors

Liangyu Tao, Siddhi Ozarkar, Jeffrey M. Beck, 2018 .

Properties of decision-making tasks govern the tradeoff between model-based and model-free learning

Jeffrey M. Beck, Marc A. Sommer, Zachary Mitchell Abzug, 2019 .

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models

Alexandre Pouget, Katherine A. Heller, Jeffrey M. Beck, 2012, NIPS.

Neuron’s eye view: Inferring features of complex stimuli from neural responses

Xin Chen, Jeffrey M. Beck, John M. Pearson, 2015, PLoS Comput. Biol..

A Neural Implementation of Optimal Cue Integration

Wei Ji Ma, Alexandre Pouget, Jeffrey M. Beck, 2012 .

On the Maximization of Information Flow Between Spiking Neurons

Lucas C. Parra, Jeffrey M. Beck, Anthony J. Bell, 2009, Neural Computation.

Probabilistic brains: knowns and

Wei Ji Ma, Peter E. Latham, Jeffrey M. Beck, 2013 .

Exact Inferences in a Neural Implementation of a Hidden Markov Model

Alexandre Pouget, Jeffrey M. Beck, A. Pouget, 2007, Neural Computation.

Modelling Reciprocating Relationships with Hawkes Processes

Katherine A. Heller, Charles Blundell, Jeffrey M. Beck, 2012, NIPS.

Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration

Tobias Egner, Silvia Ferrari, Jeffrey M. Beck, 2017, NeuroImage.

Demixing odors - fast inference in olfaction

Peter E. Latham, Alexandre Pouget, Jeffrey M. Beck, 2013, NIPS.

Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons

Alexandre Pouget, Jeffrey M. Beck, Vikranth R. Bejjanki, 2011, Neural Computation.

Author response: Striatal fast-spiking interneurons selectively modulate circuit output and are required for habitual behavior

Jeffrey M. Beck, Nam Soo Kim, Justin K. O’Hare, 2017 .

Bayesian theory of visual search

Wei Ji Ma, Vidhya Navalpakkam, Jeffrey M. Beck, 2010 .

A Perceptual Confirmation Bias from Approximate Online Inference

Richard D. Lange, Jeffrey M. Beck, Ralf M. Haefner, 2018 .

Fast Second Order Stochastic Backpropagation for Variational Inference

James T. Kwok, Katherine A. Heller, Kai Fan, 2015, NIPS.

Complex Probabilistic Inference

Samuel J. Gershman, Jeffrey M. Beck, S. Gershman, 2017 .

Neuronal adaptation reveals a suboptimal decoding of orientation tuned populations in the mouse visual cortex

Jeffrey M. Beck, Lindsey L. Glickfeld, Miaomiao Jin, 2018 .

A confirmation bias in perceptual decision-making due to hierarchical approximate inference

Richard D. Lange, Jeffrey M. Beck, Ankani Chattoraj, 2021, PLoS Comput. Biol..

Quality and accessibility of visual working memory during cognitive control of attentional guidance: A Bayesian model comparison approach

Anastasia Kiyonaga, Tobias Egner, Jeffrey M. Beck, 2015 .