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.

Dean Buonomano explores the concept of time in neuroscience and physics

He outlines why he thinks integrated information theory is unscientific and discusses how timing is a fundamental computation in brains.

By Paul Middlebrooks
23 April 2025 | 111 min listen

Aran Nayebi discusses a NeuroAI update to the Turing test

And he highlights the need to match neural representations across machines and organisms to build better autonomous agents.

By Paul Middlebrooks
9 April 2025 | 104 min listen

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.

By Paul Middlebrooks
26 March 2025 | 96 min listen

Alison Preston explains how our brains form mental frameworks for interpreting the world

Preston discusses her research examining differences in how children, teenagers and adults integrate new information into their memories.

By Paul Middlebrooks
12 March 2025 | 90 min listen

Ciara Greene on the quirks and complexities of human episodic memory

Greene's book, “Memory Lane: The Perfectly Imperfect Ways We Remember,” explores the many factors that affect how we recall the events in our lives, from the mundane to the emotionally powerful.

By Paul Middlebrooks
26 February 2025 | 89 min listen

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

David Robbe challenges conventional notions of time and memory

Inspired by his own behavioral neuroscience research and the philosophy of Henri Bergson, Robbe makes the case that we don't have clocks in our brains but instead perceive time by way of our interactions with the world.

By Paul Middlebrooks
29 January 2025 | 98 min listen

David Krakauer reflects on the foundations and future of complexity science

In his book “The Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define it—entropy, evolution, dynamics and computation.

By Paul Middlebrooks
14 January 2025 | 106 min listen

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

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Explore more from The Transmitter

Photograph of the BRIDGE team and students visiting a laboratory.

Sharing Africa’s brain data: Q&A with Amadi Ihunwo

These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.

By Lauren Schenkman
20 May 2025 | 6 min read
Research image of neurite overgrowth in cells grown from people with autism-linked PPP2R5D variants.

Cortical structures in infants linked to future language skills; and more

Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.

By Jill Adams
20 May 2025 | 2 min read
Digitally distorted building blocks.

The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants

A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.

By Alona Fyshe
19 May 2025 | 7 min read