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.

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

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

Grace Hwang and Joe Monaco discuss the future of NeuroAI

Hwang and Monaco organized a recent workshop to hear from leaders in the field about how best to integrate NeuroAI research into the BRAIN Initiative.

By Paul Middlebrooks
4 December 2024 | 97 min listen

Hessameddin Akhlaghpour outlines how RNA may implement universal computation

Could the brain’s computational abilities extend beyond neural networks to molecular mechanisms? Akhlaghpour describes how natural universal computation may have evolved via RNA mechanisms.

By Paul Middlebrooks
26 November 2024 | 107 min listen

How Anthony Zador thinks neuroscience can help improve AI

Artificial intelligence is ubiquitous and powerful, but can neuroscience still help advance it? Zador describes the “virtuous circle” of neuroscience and AI that drives progress in both fields.

By Paul Middlebrooks
11 November 2024 | 93 min listen

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Explore more from The Transmitter

Research image of protein synthesis in mice.

NIH neurodevelopmental assessment system now available as iPad app

Here is a roundup of autism-related news and research spotted around the web for the week of 24 March.

By Jill Adams
25 March 2025 | 2 min read
Illustration of a face covered by several black rectangles.

Keep sex as a biological variable: Don’t let NIH upheaval turn back the clock on scientific rigor

Even in the absence of any formal instruction to do so, we should continue to hold our ourselves and our neuroscience colleagues accountable for SABV practices.

By Rebecca Shansky
25 March 2025 | 7 min read
Research image of cell types in the human brain.

Single-cell genomics technologies and cell atlases have ushered in a new era of human neurobiology

Single-cell approaches are already shedding light on the human brain, identifying cell types that are most vulnerable in the early stages of Alzheimer’s disease, for example.

By Ed Lein, Hongkui Zeng
24 March 2025 | 7 min read