Biologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They …
A Peters, BS McEwen, K Friston - Progress in neurobiology, 2017 - Elsevier
The term 'stress'–coined in 1936–has many definitions, but until now has lacked a theoretical foundation. Here we present an information-theoretic approach–based on the …
GR Kuperberg, TF Jaeger - Language, cognition and neuroscience, 2016 - Taylor & Francis
We consider several key aspects of prediction in language comprehension: its computational nature, the representational level (s) at which we predict, whether we use …
What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning …
Recent years have seen a growing interest in inhibitory interneurons and their circuits. A striking property of cortical inhibition is how tightly it balances excitation. Inhibitory currents …
O Marín - Nature Reviews Neuroscience, 2012 - nature.com
Schizophrenia, autism and intellectual disabilities are best understood as spectrums of diseases that have broad sets of causes. However, it is becoming evident that these …
A decision is a commitment to a proposition or plan of action based on information and values associated with the possible outcomes. The process operates in a flexible timeframe …
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 …
XJ Wang - Physiological reviews, 2010 - journals.physiology.org
Synchronous rhythms represent a core mechanism for sculpting temporal coordination of neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …