Spatiotemporal emergence of movement plans in the posterior parietal cortex during eyehand coordinat - PowerPoint PPT Presentation

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Spatiotemporal emergence of movement plans in the posterior parietal cortex during eyehand coordinat

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Title: Spatiotemporal emergence of movement plans in the posterior parietal cortex during eyehand coordinat


1
Spatiotemporal emergence of movement plans in the
posterior parietal cortex during eye-hand
coordination Arpan BanerjeeNYUSloan-Swartz
Meeting 2008
2
Eye hand coordination
Target selection time
Stimulus onset
Reaction time
Plan
Time
3
Working Hypotheses
  • Either, eye-hand coordination requires shared
    target representations for saccades and reaches
    which may lead to correlation in target selection
    times across brain areas
  • Or, coordination is primarily mediated by
    coupling between the movement plans after the
    target is selected

4
Recordings of spiking and LFP activity
Spikes
Rate (Hz)
Time (msec)
Fields
Voltage
Parietal reach region (PRR) Lateral
intra-parietal area (LIP)
Dean (In progress) Lazzaro (In progress)
5
Overview
  • Primary Goal
  • Unified analysis of spikes and fields to detect
    target selection times.
  • Methods
  • Statistical modeling of the specific patterns
    (variates) encoding movement directions.
  • Decode the movement direction (and Target
    selection time) from the pattern (variate) given
    new data via likelihood ratio tests

Future direction RT
6
Modelling of LFP activity
Neural recording area
Autoregressive modelling with external input
7
Decoding Input
  • Obtain the as (AR coefficients) by Burgs
    algorithm
  • Model order (p) selection using Akaike criterion
  • Input decoded
  • Amplitude and latency estimated trial by trial by
    maximizing the posterior

8
Likelihood estimation
  • Neural signal modeling for each direction of
    movement
  • Accumulation of logarithm of likelihood ratio
    is obtained

9
Target selection time estimation
  • Accumulated log-likelihood ratios

Fields
104 msec
10
Future directions
  • Application of Sequential probability ratio tests
    to determine the target selection time from
    accumulated ratios Wald 1940
  • Time variation of A R coefficients.
  • Conditional intensity process will be considered
    for spike activity
  • Extension to multivariate recordings

11
Summary
  • Target selection time can be computed
    simultaneously from fields and spikes in a
    unified framework.
  • Covariation of target selection times across
    different brain areas and with saccade and reach
    reaction times can be used to understand the
    coupling between eye and hand movements.

12
Acknowledgements
  • Dr. Bijan Pesaran
  • Stephanie Lazzaro
  • Dr. Heather Dean
  • Boris Revechkis
  • Sam Gershman
  • Eva Tsui
  • Adam Weiss
  • The Swartz Foundation

Thank you!
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