Neural coding

Recent articles

A series of colored rectangles in a cosmos-like black space.

The challenge of defining a neural population

Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.

By Mark Humphries
11 August 2025 | 9 min listen

John Beggs unpacks the critical brain hypothesis

Beggs outlines why and how brains operate at criticality, a sweet spot between order and chaos.

By Paul Middlebrooks
21 May 2025 | 94 min listen
Composite image of a brain probe, a test tube and a brain scan.

Why the 21st-century neuroscientist needs to be neuroethically engaged

Technological advances in decoding brain activity and in growing human brain cells raise new ethical issues. Here is a framework to help researchers navigate them.

By Karen Rommelfanger
12 May 2025 | 6 min read
Mock-up of the Neuropixels probe inserted into brain tissue.

Tracking single neurons in the human brain reveals new insight into language and other human-specific functions

Better technologies to stably monitor cell populations over long periods of time make it possible to study neural coding and dynamics in the human brain.

By Edward Chang, Jason Chung
28 April 2025 | 7 min read

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.

By Daniel Graham
1 April 2025 | 0 min watch

Dmitri Chklovskii outlines how single neurons may act as their own optimal feedback controllers

From logical gates to grandmother cells, neuroscientists have employed many metaphors to explain single neuron function. Chklovskii makes the case that neurons are actually trying to control how their outputs affect the rest of the brain.

By Paul Middlebrooks
12 February 2025 | 99 min listen
Multicolored illustration of a human brain as seen from the top down.

Most neurons in mouse cortex defy functional categories

The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.

By Holly Barker
7 January 2025 | 5 min read

Eli Sennesh talks about bridging predictive coding and NeuroAI

Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.

By Paul Middlebrooks
3 January 2025 | 98 min listen
Illustration of distorted lines of different colors being pulled into a box where they are smoothed in a single multicolored line.

The Transmitter’s favorite essays and columns of 2024

From sex differences in Alzheimer’s disease to enduring citation bias, experts weighed in on important scientific and practical issues in neuroscience.

By The Transmitter
23 December 2024 | 2 min read

Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence

Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.

By Paul Middlebrooks
18 December 2024 | 97 min listen

Explore more from The Transmitter

Colorful drawing of a human brain.

‘Neuroethics: The Implications of Mapping and Changing the Brain,’ an excerpt

In his new book, published today, philosopher Walter Glannon examines the ethics of six areas of neuroscience. In Chapter 4, a portion of which appears below, he tackles the ethical considerations of using brain organoids in research.

By Walter Glannon
11 November 2025 | 7 min read
Human brain cross-sections.

Teasing out mosaicism cell by cell; and more

Here is a roundup of autism-related news and research spotted around the web for the week of 10 November.

By Jill Adams
11 November 2025 | 2 min read
A monkey brain slice.

Without monkeys, neuroscience has no future

Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put the future of such advances at risk.

By Cory Miller, J. Anthony Movshon, Doris Tsao
10 November 2025 | 5 min read

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