Computational neuroscience

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This series examines the latest advances and insights on the intersection between neuroscience and AI.

Brain Flows book cover.

‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt

In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.

By Michael W. Cole
3 November 2026 | 9 min read

New Stanford initiative aims to build digital twin of human brain

The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.

By Natalia Mesa
2 November 2026 | 0 min watch
A measuring cup with a whirlpool in it.

When is self-organization a mechanism in brain development?

Retinal waves offer a powerful example of a self-organizing system that can build structure without external guidance. The field would do well to embrace such phenomena more broadly as a type of mechanistic explanation.

By P. Robin Hiesinger
2 November 2026 | 6 min read
Stock image of branching dendrites.

How brains prevent ‘catastrophic forgetting’

Dendrite-specific inhibition lets overlapping neuronal assemblies form across brain areas without erasing existing memories, a new modeling study suggests.

By Natalia Mesa
28 October 2026 | 6 min read
Illustration of botanical tree and computer tree growing apart.

Neuroscience gave AI its start. What happens now?

David Sussillo maps the two fields' divergent paths, and where they might still meet.

By Emily Singer
27 October 2026 | 10 min read

Explore more from The Transmitter

Illustration of a binocular view of a hilly path leading towards a temple.

Amid funding uncertainty, graduate neuroscience programs in the U.S. adapt

The Transmitter surveyed 50 graduate program directors to learn how they’re faring. Securing labs for new students is one of the greatest concerns.

By Emily Singer
9 November 2026 | 15 min read
Illustration of a pillar in the shape of a question mark.

The changing nature of the neuroscience Ph.D.

The best science can only be sustained by a steady influx of early-stage scientists and the innovative ideas they bring, says Diane Lipscombe. She reflects on the loss of international students, the value of training grants, and the challenges that lie ahead for graduate education.

By Emily Singer
9 November 2026 | 7 min read
Illustration of marble bust with pixels taken out of it.

Rethinking neuroscience graduate education in the age of AI

What knowledge from traditional training protocols needs to be maintained, what can be discarded, and what new types of training should be introduced? Six neuroscientists weigh in.

By Mark Goldman
9 November 2026 | 17 min read