Computational neuroscience
Recent articles
How to build a truly global computational neuroscience community
Computational sciences offer an opportunity to increase global access to, and participation in, neuroscience. Neuromatch’s inclusive, scalable model for community building shows how to realize this promise.
How to build a truly global computational neuroscience community
Computational sciences offer an opportunity to increase global access to, and participation in, neuroscience. Neuromatch’s inclusive, scalable model for community building shows how to realize this promise.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.
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.
Explore more from The Transmitter
Cross-species connectome comparison shows uneven olfactory circuit evolution in flies
The findings start to reveal evolutionary changes that may have helped two species develop different olfactory preferences and adapt to their particular environments.
Cross-species connectome comparison shows uneven olfactory circuit evolution in flies
The findings start to reveal evolutionary changes that may have helped two species develop different olfactory preferences and adapt to their particular environments.
Null and Noteworthy: Downstream brain areas read visual cortex signals en masse in mice
The finding contradicts a theory that the regions prioritize neurons that are adept at identifying specific stimuli. Plus, a response to a study that questioned immune memory in astrocytes.
Null and Noteworthy: Downstream brain areas read visual cortex signals en masse in mice
The finding contradicts a theory that the regions prioritize neurons that are adept at identifying specific stimuli. Plus, a response to a study that questioned immune memory in astrocytes.
Poor image quality introduces systematic bias into large neuroimaging datasets
Analyses that include low-quality MRI data underestimate cortical thickness and overestimate cortical surface area, according to new findings from the Adolescent Brain Cognitive Development (ABCD) Study.
Poor image quality introduces systematic bias into large neuroimaging datasets
Analyses that include low-quality MRI data underestimate cortical thickness and overestimate cortical surface area, according to new findings from the Adolescent Brain Cognitive Development (ABCD) Study.