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Topics in Brain Computer Interfaces Topics in Brain Computer Interfaces CS295- -7 7 CS295 Professor: M ICHAEL B LACK TA: F RANK W OOD Spring 2005 Michael J. Black - January 2005 Brown University What can we measure from the brain?


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Michael J. Black - January 2005 Brown University

Topics in Brain Computer Interfaces Topics in Brain Computer Interfaces CS295 CS295-

  • 7

7

Professor: MICHAEL BLACK TA: FRANK WOOD Spring 2005

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Michael J. Black - January 2005 Brown University

What can we measure from the brain?

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Michael J. Black - January 2005 Brown University

Cerebral Cortex

Frontal lobe. Planning

  • f action and control of

movement. Temporal lobe.

  • Hearing. In its deep

structures lies the hippocampus, an important location for memory. Occipital lobe. Vision. Parietal lobe. Sense of position.

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Michael J. Black - January 2005 Brown University

Useful Terms

  • Rostral/Anterior=head or front end
  • Caudal/Posterior=tail or hind end
  • Dorsal /Superior= back or top side
  • Ventral/Inferior = belly or bottom side
  • Medial=toward the midline of the

body

  • Lateral=away from the midline
  • Proximal = closer
  • Distal = farther away

Rostral / Anterior Ventral / Inferior Dorsal / Superior Caudal / Posterior

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Michael J. Black - January 2005 Brown University

Layered Cortex

Largely “accessible”.

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Michael J. Black - January 2005 Brown University

Cortical layers

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Michael J. Black - January 2005 Brown University

Neurons

Single cells of the nervous system

Pyramidal cell

100,000,000,000 in your brain Source: Hubel

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Michael J. Black - January 2005 Brown University

Neurons have four functional regions:

  • Input component (dendrite)
  • Trigger area (soma)
  • Conductive component (axon)
  • Output component (synapse)

Source: R. Shadmehr

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Michael J. Black - January 2005 Brown University

Neuron Neuron

source: Health South Press

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Michael J. Black - January 2005 Brown University

The Action Potential

  • 0. The cell has a negative

resting potential of around -65mV. 1. Excitatory synapses cause small depolarization of cell. 2. Enough of these add up until the cell’s potential depolarizes to cross a voltage threshold.

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Michael J. Black - January 2005 Brown University

The Action Potential

Resting potential Threshold

  • 3. Rising phase. Sodium (Na+) channels open and Na+

ions rush into cell.

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Michael J. Black - January 2005 Brown University

The Action Potential

Resting potential Threshold

  • 4. Falling phase. Sodium channels close and potassium

(K+) channels open. K+ ions flow out.

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Michael J. Black - January 2005 Brown University

The Action Potential

Resting potential Threshold

  • 5. Absolute refractory period. Sodium channels deactivate when

cell is strongly depolarized. Can’t be activated again (ie no new action potential) until potential is sufficiently negative.

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Michael J. Black - January 2005 Brown University

The Action Potential

Resting potential Threshold

  • 6. Relative refractory period. Potential stays hyperpolarized until

Ka+ channels close – more current required to bring cell to threshold.

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Michael J. Black - January 2005 Brown University

Excitation and Inhibition

Excitation: Depolarization Excitatory post- synaptic potentials. Increased spike rate Inhibition: Hyperpolarization Inhibitory post- synaptic potentials. Decreased spike rate

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Michael J. Black - January 2005 Brown University

Intra-cellular recording

Smith and Rhode, 1987.

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Michael J. Black - January 2005 Brown University

Extra-cellular recording

Rieke et al, 1997

Can only observe action potentials (spikes). Assumption: neurons convey information in their spikes.

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Michael J. Black - January 2005 Brown University

Computational Elements of the Brain

1/10 mm 2/1000’s second

Spikes

Source: Bear, Connors, Paradiso

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Michael J. Black - January 2005 Brown University

Extra-cellular Recording

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Michael J. Black - January 2005 Brown University

Recording Spikes

Intra-cellular recording Extra-cellular recording

Source: Henze et al. 2000

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Michael J. Black - January 2005 Brown University

Recoding as a function of depth

Source: Henze et al. 2000 http://www.cns.nyu.edu/~siddha/SPF_papers/Henze.pdf

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Michael J. Black - January 2005 Brown University

Neurons

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Michael J. Black - January 2005 Brown University

Pyramidal Cells in Cortex

A dense population. Pyramidal cells arranged roughly parallel to each other. May record from multiple cells simultaneously (we’ll return to this later).

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Michael J. Black - January 2005 Brown University

Pyramidal Cells in Cortex

Local Field Potential (LFP) – electrical activity of all cells averaged over some spatial neighborhood. Highpass filtering in 1- 2ms range gives spikes (1-2kHz). LFP signal is lower frequency (e.g. 10- 100Hz)

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Michael J. Black - January 2005 Brown University

Spike Train, {ti}, from cell j

Peak Time

Classify Si,j

*(t)

Spike “Sorting”

Threshold

Record S(t)

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Michael J. Black - January 2005 Brown University

BRAIN VERSUS COMPUTER

100,000,000 Transistors Computational Elements 100,000,000,000 Neurons Speed (operations/second/element) 30-300 1.5 * 109

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Michael J. Black - January 2005 Brown University

MOORE’S LAW

source: Intel

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Michael J. Black - January 2005 Brown University

MASSIVE CONNECTIVITY

SYNAPSES

source: David Sheinberg

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Michael J. Black - January 2005 Brown University

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Michael J. Black - January 2005 Brown University

From what part of the brain should we record?