Multiunit Research

Many groups at Caltech are involved in multi-neuron physiology research in various preparations: in vivo, in slices and in culture. Here is a selection of the work being done.


Tetrodes. A tetrode is a four-wire bundle electrode that can be used to record extracellularly from a cluster of adjacent cells in vivo. In mammalian cortex, adjacent cells are known to be heavily inter-connected and are thought to share physiological function. Thus tetrodes may be used to explore local circuitry, concerted signalling and population dynamics within a small volume.

The multiwire bundle makes the identification of multiple neurons in the extracellular record reliable and unambiguous. Research at Caltech has focused on finding a rigorous and quantifiable solution to the signal separation problem. Current work is now exploring areas in macaque parietal cortex with tetrodes.

This work is being done by John Pezaris and Maneesh Sahani in Richard Andersen's laboratory.


Silicon Microprobes. Other work at the Institute has focussed on the development of micro-machined fork-shaped silicon probes, which support multiple micro-electrodes on each of several tines of the fork (sixteen electrodes total in current designs). Silicon neural probes are expected to be one of the dominant experimental techniques in neurophysiology in the future. Their inherent multichannel recording ability compares to other extracellular techniques, while they provide the added advantage of well defined electrode geometry.

These recording devices are being developed by David Kewley in Jim Bower's group.


Living Neural Networks. Researchers in Jerry Pine's lab use cultures of dissociated neurons from rat hippocampus to study the morphological correlates of learning and memory. The neurons are cultured for weeks or months at a time on 61-electrode arrays made of the transparent conductor, indium-tin oxide (ITO), on a glass substrate. By studying the basics of how electrical activity influences neuronal morphology, and how these changes in morphology then alter the networks' electrical properties, they will provide useful parameters for computer models of neural networks. This will allow the developmento of artificial learning systems that take advantage of some of the clever adaptations that have evolved over the ages in natural neural systems.

This work is done by Steve M. Potter, Devi Thota, Michael P. Maher, and Jerry Pine.


Olfactory Synchrony Spike timing relationships across neural assemblies, such as synchrony and oscillations, can best be explored by simultaneously recording from multiple neurons. The roles of spike time phenomena in sensory information processing can only be explored by doing so in intact animals. Here a pair of neurons in the locust olfactory system are shown to fire rhythmically and tightly locked to each other in response to an apple odor. The red trace at the top shows field potential oscillations, which indicate that many other neurons are participating in the same synchronized, oscillatory assemblies.

This work is being done by Mike Wehr in the Laurent Lab.