Computational neuroscience
Recent articles
Learning in living mice defies classic synaptic plasticity rule
Donald Hebb’s theory—memorably summarized as “cells that fire together, wire together”—does not explain the shifting hippocampal connections in mice learning to navigate a virtual environment, according to a new study.
Learning in living mice defies classic synaptic plasticity rule
Donald Hebb’s theory—memorably summarized as “cells that fire together, wire together”—does not explain the shifting hippocampal connections in mice learning to navigate a virtual environment, according to a new study.
This paper changed my life: Marino Pagan recalls a decision-making study from four titans in the field
Valerio Mante and David Sussillo, along with their mentors Krishna Shenoy and Bill Newsome, revealed the complexity of neural population dynamics and the power of recurrent neural networks.
This paper changed my life: Marino Pagan recalls a decision-making study from four titans in the field
Valerio Mante and David Sussillo, along with their mentors Krishna Shenoy and Bill Newsome, revealed the complexity of neural population dynamics and the power of recurrent neural networks.
Thinking about thinking: AI offers theoretical insights into human memory
We need a new conceptual framework for understanding cognitive functions—particularly how globally distributed brain states are formed and maintained for hours.
Thinking about thinking: AI offers theoretical insights into human memory
We need a new conceptual framework for understanding cognitive functions—particularly how globally distributed brain states are formed and maintained for hours.
It’s time to examine neural coding from the message’s point of view
In studying the brain, we almost always take the neuron’s perspective. But we can gain new insights by reorienting our frame of reference to that of the messages flowing over brain networks.
It’s time to examine neural coding from the message’s point of view
In studying the brain, we almost always take the neuron’s perspective. But we can gain new insights by reorienting our frame of reference to that of the messages flowing over brain networks.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Explore more from The Transmitter
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.
Attention not necessary for visual awareness, large study suggests
People can perceive some visual information even if they do not pay direct attention to it.
Attention not necessary for visual awareness, large study suggests
People can perceive some visual information even if they do not pay direct attention to it.