Against cortical reorganisation

TR Makin, JW Krakauer - elife, 2023 - elifesciences.org
Neurological insults, such as congenital blindness, deafness, amputation, and stroke, often
result in surprising and impressive behavioural changes. Cortical reorganisation, which …

Circuit mechanisms of sensorimotor learning

H Makino, EJ Hwang, NG Hedrick, T Komiyama - Neuron, 2016 - cell.com
The relationship between the brain and the environment is flexible, forming the foundation
for our ability to learn. Here we review the current state of our understanding of the …

[HTML][HTML] Working memory training involves learning new skills

SE Gathercole, DL Dunning, J Holmes… - Journal of memory and …, 2019 - Elsevier
We present a new framework characterizing training-induced changes in WM as the
acquisition of novel cognitive routines akin to learning a new skill. Predictions were tested in …

Learning enhances sensory and multiple non-sensory representations in primary visual cortex

J Poort, AG Khan, M Pachitariu, A Nemri, I Orsolic… - Neuron, 2015 - cell.com
We determined how learning modifies neural representations in primary visual cortex (V1)
during acquisition of a visually guided behavioral task. We imaged the activity of the same …

Unsupervised discovery of demixed, low-dimensional neural dynamics across multiple timescales through tensor component analysis

AH Williams, TH Kim, F Wang, S Vyas, SI Ryu… - Neuron, 2018 - cell.com
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned
behaviors can require many days to mature. While recent experimental advances enable …

How many neurons are sufficient for perception of cortical activity?

HWP Dalgleish, LE Russell, AM Packer, A Roth… - Elife, 2020 - elifesciences.org
Many theories of brain function propose that activity in sparse subsets of neurons underlies
perception and action. To place a lower bound on the amount of neural activity that can be …

States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning

J Gläscher, N Daw, P Dayan, JP O'Doherty - Neuron, 2010 - cell.com
Reinforcement learning (RL) uses sequential experience with situations (" states") and
outcomes to assess actions. Whereas model-free RL uses this experience directly, in the …

[图书][B] The unity of perception: Content, consciousness, evidence

S Schellenberg - 2018 - books.google.com
Perception is our key to the world. It plays at least three different roles in our lives. It justifies
beliefs and provides us with knowledge of our environment. It brings about conscious mental …

Representation of confidence associated with a decision by neurons in the parietal cortex

R Kiani, MN Shadlen - science, 2009 - science.org
The degree of confidence in a decision provides a graded and probabilistic assessment of
expected outcome. Although neural mechanisms of perceptual decisions have been studied …

Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation

K Shibata, T Watanabe, Y Sasaki, M Kawato - science, 2011 - science.org
It is controversial whether the adult primate early visual cortex is sufficiently plastic to cause
visual perceptual learning (VPL). The controversy occurs partially because most VPL studies …