Electrophysiology podcasts

The episode connects historical evidence and modern biological methods. Meagan Cantwell and Christie Wilcox discuss nuclear history, a gene associated with hair graying and old Swiss cheese. Lizzie Wade explains how radiocarbon evidence is changing the chronology of the Inca empire. Nicholas Bush then describes neuronal recordings and computational approaches to understanding the circuits that generate rhythmic breathing.

Hosted by Sarah Crespi

Liset de la Prida discusses hippocampal sharp-wave ripples and their relationship to replay and memory. The conversation connects different ripple patterns and neuron types to population activity, asking how particular cells help shape the lower-dimensional dynamics used to describe neural computation.

Hosted by Paul Middlebrooks

Chris Rozell discusses combining deep-brain stimulation, neural recordings and machine learning to study treatment-resistant depression. The conversation examines biomarkers of recovery, open- and closed-loop interventions, prediction of treatment responses and explainable models, while addressing the obstacles and interdisciplinary work involved in precision neuroengineering.

Hosted by Paul Middlebrooks

Rony Hirschhorn, Alex Lepauvre and Oscar Ferrante describe COGITATE's adversarial comparison of integrated information and global neuronal workspace theories. The conversation covers agreed predictions, a shared task measured with EEG, MEG and fMRI, evidence about location, duration and inter-area communication, and the practical difficulties of interpreting mixed results across competing theories.

Hosted by Paul Middlebrooks

Kenneth Harris discusses what simultaneous recordings from many cells reveal about visual information encoded by neuronal populations.

Gaute Einevoll explains how biophysical models connect neural activity to extracellular measurements such as spikes, local field potentials and EEG.

Arvind Kumar examines how spikes convey information and how researchers distinguish competing accounts of neural coding.

Christof Koch discusses the physical principles behind neuronal computation, from membrane dynamics to the integration of incoming signals.

Earl K. Miller explores thoughts as emergent properties of prefrontal neural dynamics. The conversation covers spatial computing, working-memory capacity, oscillations, travelling waves, subspaces and silent synapses, relating changes in his scientific thinking to broader questions about the self and the limits of reductionist explanations.

Hosted by Paul Middlebrooks