Understanding the brain: a work in progress. The brain performs an incredible range of functions...

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Understanding the brain: a work in progress

Transcript of Understanding the brain: a work in progress. The brain performs an incredible range of functions...

Page 1: Understanding the brain: a work in progress. The brain performs an incredible range of functions Controls body functions and motivates us to obtain appropriate.

Understanding the brain: a work in progress

Page 2: Understanding the brain: a work in progress. The brain performs an incredible range of functions Controls body functions and motivates us to obtain appropriate.

The brain performs an incredible range of functions

• Controls body functions and motivates us to obtain appropriate resources to maintain life

• Movement• Detect and interpret sensory information and

social cues• Attend to specific things rather than others• Learn and remember information and integrate it

with past knowledge• Guide behaviour through emotional responses • Generate conscious awareness of the external

environment, self and others

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Page 4: Understanding the brain: a work in progress. The brain performs an incredible range of functions Controls body functions and motivates us to obtain appropriate.
Page 5: Understanding the brain: a work in progress. The brain performs an incredible range of functions Controls body functions and motivates us to obtain appropriate.
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High speed supercomputers 2000-2010• 2000 IBM ASCI White 7.226 TFLOPS

DoE-Lawrence Livermore National Laboratory USA • 2002 NEC Earth Simulator 35.86 TFLOPS

Earth Simulator Center, Japan • 2004 IBM Blue Gene/L 70.72 TFLOPS DoE/IBM • 2005 136.8 TFLOPS DoE/U.S. National Nuclear

Security, Lawrence Livermore National Laboratory 280.6 TFLOPS

• 2007/8 478.2 TFLOPS IBM Roadrunner 1.026 PFLOPS DoE-Los Alamos National Laboratory 1.105 PFLOPS

• 2009 Cray Jaguar 1.759 PFLOPS DoE-Oak Ridge National Laboratory, USA

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IBM Sequoia Supercomputer

20 PFLOPS speed1.6 PFLOPS memory318m296 racks7megawatts

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Neurons

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Neuroglial cellsAstrocytes - anchor neurons to blood vessels and transport of nutrients/ waste. Have receptors, produce growth factors and modulate synaptic transmission. Signal to one another via gap junctions using calcium. Microglia - defence against pathogens and monitor the condition of neurons. Ependymal cells - line the fluid-filled cavities in brain and spinal cord. Produce, transport, and circulate the cerebrospinal fluid. Oligodendrocytes- produce the myelin sheath in the CNS which insulates and protects axons.

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The molecular brain!

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Major subdivisions of the brain

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Reticular activating system

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Neural plasticityNeural plasticity

Learning – turning the gain up and the noise down

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Imitating the actions of others (mirror neurons)

Control Autistic

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How is information represented in the brain?

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Advantages/disadvantages of spatial encoding

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pre-stimulus during stimulus

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Correlation and pattern changes

Advantages and disadvantages of temporal encoding

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Combined spatial and temporal encoding

•Most robust solution, allowing brains to be a reasonable size

•Makes it easier to both separate, integrate and decode information

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The Sensory Brain

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Sensory maps - vision

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Sensory maps - hearing

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Somatosensory and motor maps

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The somatosensory homunculus

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Integration of sensory information

• Multisensory brain areas• One sense can influence interpretation of

another one (see a mouth shape the word “bait” and hear the word “gate”, you think you hear “date”) – McGurk Illusion

• Facial expressions, even if not consciously perceived, modify the perception of emotion in the voice of the speaker

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The brain as an interpreter

Illusions

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Synaesthesia

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Synaesthesia

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Synaesthesia

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Synaesthesia

We may all start offexperiencing the world through synaesthesia

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Neural encoding of faces

"Who are you?", "how do you feel?"

"do i like you"?” Answers in <300

milliseconds!

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Face processing in the brain

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Face processing in the brain

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Single cell vs population encoding

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Quian-Quiroga et al (2005) Nature

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Andrews et alJ Neurosci (2010)

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The brain as an interpreter

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Encoding face identity and face emotion cues simultaneously

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Operant discrimination between different faces

Face discrimination learning

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Brain rhythms and face recognition learning

30-120Hz

4-8Hz

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Coupling between fast and slow oscillations (theta and gamma)

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Phase locking between IT neuronal activity and theta

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>75% of IT electrodes show coupling between theta phase and gamma amplitude

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Correlations between discriminationperformance and altered theta/gamma activity

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Neural network models

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Decreased synchronization as theta/gamma ratio increases

Downstream neuron

Model IT

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Excitatoryneurons

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How desynchronization alone can produce potentiation

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Excitatoryneurons

Synch(1) De-synch

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Output

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How desynchronization alone can produce potentiation

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Excitatoryneurons

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How desynchronization alone can produce potentiationDecorrelation reduces noise

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Decorrelation improves discriminability of patterns

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The problems of consciousness

• There is no single seat of consciousness in the brain

• Many things are processed without conscious awareness

• Often similar patterns of brain activation are seen when information is processed with or without conscious awareness

• There are different levels of consciousness• Individuals may be aware even when they show

no obvious signs of consciousness

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Spatial imagery Motor imagery

Assessing conscious awareness in “vegetative state” brain damaged patients

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Study found 10% of vegetative state patients could perform motor/spatial imagery tasks

Monti et al (2010)New Eng J Med

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Using brain imaging to enable vegetative state patients to communicate

Monti et al(2010)New Eng J Med

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PP

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Alkire et al (2008) Science

Effects of anaesthesia and sleep on cortical integration

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Reduced unidirectional information flow and long distance connections, and increased short-loop feedback

Effects of deep anaesthesia on cortical processing

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How does consciousness emerge?

• Perhaps widespread and integrated flow of activity in the neocortex generates a metarepresentation.

• When information is processed unconsciously a metarepresentation does not form due to lack of integrated flow between cortical processing nodes.

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Establishing functional connections in the brain using Granger causality

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Future progress

• Stronger links between mathematicians, computer scientists and neuroscientists

• A greater emphasis on revealing key functional connectivity changes in the brain

• Provide a better understanding of temporal/patterning aspects of neural encoding

• Further advances in technologies for measuring the activity of the working brain