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Is the understanding of neural correlates essential for a theory of thinking?

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Is the understanding of neural correlates essential for a theory of thinking? Human thinking, yes. Intrinsic physical and evolved limitations Testable models Theory of “thinking,” no. What do we know today about the neuronal implementation of complex thinking?

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slide1

Is the understanding of neural correlates essential for a theory of thinking?

  • Human thinking, yes.
    • Intrinsic physical and evolved limitations
    • Testable models
  • Theory of “thinking,” no.
  • What do we know today about the neuronal implementation of complex thinking?
  • What is “complex thinking?” (chess vs. visual extraction vs. walking on a trail)
  • Is the “meso-level really the one were we understand the least and what can
  • Speculatively be said about it today?
slide2

Visual Cortex Organization

http://www.thebrain.mcgill.ca

slide3

3

2

1

0

-1

Brain

Map

Column

Layer

NIRS NIRS

PET

MEG, EEG

NIRS

Log Size (mm)

fMRI

MRI

-3 -2 -1 0 1 2 3 4 5 6 7

Millisecond Second Minute Hour Day

Log Time (sec)

orientation columns in human v1 as revealed by fmri at 7t

Methodology

180°

Phase

Orientation Columns in Human V1as Revealed by fMRI at 7T

Phase Map

Yacoub, Ugurbil & Harel

University of Minnesota / CMRR

HBM 2006: Thursday, June 15, 2006 at 9:30

Scalebar = 0.5 mm

multi sensory integration
Multi-sensory integration

M.S. Beauchamp et al.,

Visual

Auditory

Multisensory

slide6
Multivariate Analysis:

looking for differences in pattern

Niko Kriegeskorte, NIH

slide7

Reading hidden intentions in the human brain

Decoding accuracy

Time [s]

Thu 9.45: Cognition – Representation and Processes

Haynes, Sakai, Rees, Gilbert, Frith & Passingham (Current Biology,2007)

Soon, Brass, Heinze & Haynes (in preparation)

slide8

group

Individual activations from the left hemisphere of the 9 subjects

SC

NL

KB

EE

JL

HG

BB

BK

CC

Extensive Individual Differences in Brain Activations During Episodic Retrieval

Miller et al., 2002

Courtesy, Mike Miler, UC Santa Barbara and Jack Van Horn, fMRI Data Center, Dartmouth University

predicting perceived natural scene categories from distributed patterns of fmri activity

Predicting perceived natural scene categories from distributed patterns of fMRI activity

Dirk B. Walther, Eamon Caddigan,

Justas Birgiolas, Li Fei-Fei, Diane Beck

slide11

Methodology

Boynton (2005), News & Views on Kamitani & Tong (2005) and Haynes & Rees (2005)

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