Brain Inspired

Recent articles

This podcast, hosted by Paul Middlebrooks, features in-depth conversations with neuroscientists studying natural and artificial intelligence, philosophy, consciousness and other related areas.

Juan Gallego discusses how manifolds are transforming our understanding of the coordination of neuronal population activity

A wealth of evidence supports the view that neural manifolds are real and useful, Gallego says, even if they may not completely solve the age-old mind-body problem.

By Paul Middlebrooks
25 March 2026 | 121 min listen

Tom Griffiths describes how neural networks, logic and probability theory together explain cognition

In his new book, “The Laws of Thought,” Griffiths shows how these three pillars of study complement one another and together form a solid foundation to eventually explain all of our cognition, from brain to mind.

By Paul Middlebrooks
11 March 2026 | 100 min listen

Three ecological psychologists on the right and wrong ways to use the field’s principles in neuroscience

Matthieu de Wit, Luis H. Favela and Vicente Raja weigh in on the recent trend of neuroscientists importing concepts from ecological psychology, the study of how an organism’s interactions with its environment explain perception and action.

By Paul Middlebrooks
25 February 2026 | 1 min read

Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru

He argues that our brain’s computations are of a completely different nature than any artificial intelligence because they take place across many spatial and temporal scales and are inextricably entwined with biological materials.

By Paul Middlebrooks
11 February 2026 | 1 min read

Michael Shadlen explains how theory of mind ushers nonconscious thoughts into consciousness

All of our thoughts, mostly nonconscious, are interrogations of the world, Shadlen says. The opportunity to report our answers to ourselves or others brings a thought into conscious awareness.

By Paul Middlebrooks
28 January 2026 | 1 min read

Tomaso Poggio on his quest for theories to explain the fundamental learning abilities of brains and machines

Thus far, engineering has outpaced theory in the science of intelligence. But Poggio is hopeful that theories can catch up.

By Paul Middlebrooks
14 January 2026 | 1 min read

Alex Maier argues that a scientific explanation of consciousness requires grounding in formalized mathematics

When it comes to discovering laws of nature for consciousness similar to those in physics, Maier argues that integrated information theory is the only game in town.

By Paul Middlebrooks
7 January 2026 | 1 min read

Can neuroscientists decode memories solely from a map of synaptic connections?

Five experts discuss the progress, possibilities and hurdles of decoding a “nontrivial” memory from an organism just by analyzing its brain connectivity patterns.

By Paul Middlebrooks
17 December 2025 | 1 min read

Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions

Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.

By Paul Middlebrooks
3 December 2025 | 1 min read

Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans

Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.

By Paul Middlebrooks
19 November 2025 | 1 min read

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Explore more from The Transmitter

Research image of mice microglia.

Single-gene systems-level effects, and more

Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.

By Jill Adams
7 April 2026 | 2 min read
Book cover of The Brain, In Theory by Romain Brette.

‘The Brain, In Theory,’ an excerpt

In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.

By Romain Brette
7 April 2026 | 5 min read
Kieth Hengen looks through a small window, aligning his face with a fancy moustache sticker and rolling his eyes comically to the side.

Computational neuroscientist Keith Hengen explains his work through illustrations

The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.

By Helena Kudiabor
7 April 2026 | 4 min read