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Current Opinion in Neurobiology
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September 25, 2017
With or without you: predictive coding and Bayesian inference in the brain
Laurence Aitchison, Máté Lengyel
Plos Computational Biology
|
December 28, 2016
The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics
Laurence Aitchison, Máté Lengyel
Entropy (Basel, Switzerland)
|
December 24, 2021
Gradient Regularization as Approximate Variational Inference
Ali Unlu, Laurence Aitchison
Plos Computational Biology
|
December 21, 2016
Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables
Laurence Aitchison, Nicola Corradi, Peter E Latham
Nature Neuroscience
|
August 12, 2020
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
Rodrigo Echeveste, Laurence Aitchison, Guillaume Hennequin, et al.
Plos Computational Biology
|
October 31, 2015
Doubly Bayesian Analysis of Confidence in Perceptual Decision-Making
Laurence Aitchison, Dan Bang, Bahador Bahrami, et al.
Elife
|
August 6, 2024
Signatures of Bayesian inference emerge from energy-efficient synapses
James Malkin, Cian O'Donnell, Conor J Houghton, et al.
Neural Computation
|
October 9, 2024
Relating Human Error-Based Learning to Modern Deep RL Algorithms
Michele Garibbo, Casimir J H Ludwig, Nathan F Lepora, et al.
Nature Neuroscience
|
March 12, 2021
Synaptic plasticity as Bayesian inference
Laurence Aitchison, Jannes Jegminat, Jorge Aurelio Menendez, et al.
Nature Neuroscience
|
June 20, 2017
Active dendritic integration as a mechanism for robust and precise grid cell firing
Christoph Schmidt-Hieber, Gabija Toleikyte, Laurence Aitchison, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Current Opinion in Neurobiology
|
September 25, 2017
With or without you: predictive coding and Bayesian inference in the brain
Laurence Aitchison, Máté Lengyel
Plos Computational Biology
|
December 28, 2016
The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics
Laurence Aitchison, Máté Lengyel
Entropy (Basel, Switzerland)
|
December 24, 2021
Gradient Regularization as Approximate Variational Inference
Ali Unlu, Laurence Aitchison
Plos Computational Biology
|
December 21, 2016
Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables
Laurence Aitchison, Nicola Corradi, Peter E Latham
Nature Neuroscience
|
August 12, 2020
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
Rodrigo Echeveste, Laurence Aitchison, Guillaume Hennequin, et al.
Plos Computational Biology
|
October 31, 2015
Doubly Bayesian Analysis of Confidence in Perceptual Decision-Making
Laurence Aitchison, Dan Bang, Bahador Bahrami, et al.
Elife
|
August 6, 2024
Signatures of Bayesian inference emerge from energy-efficient synapses
James Malkin, Cian O'Donnell, Conor J Houghton, et al.
Neural Computation
|
October 9, 2024
Relating Human Error-Based Learning to Modern Deep RL Algorithms
Michele Garibbo, Casimir J H Ludwig, Nathan F Lepora, et al.
Nature Neuroscience
|
March 12, 2021
Synaptic plasticity as Bayesian inference
Laurence Aitchison, Jannes Jegminat, Jorge Aurelio Menendez, et al.
Nature Neuroscience
|
June 20, 2017
Active dendritic integration as a mechanism for robust and precise grid cell firing
Christoph Schmidt-Hieber, Gabija Toleikyte, Laurence Aitchison, et al.
Page
of 2