Session I Statistics and geometry of neuronal connections Chair: Noritaka Ichinohe Lab for Cortical Organization and Systematics Brain Science Institute,

Slides:



Advertisements
Similar presentations
History, Part III Anatomical and neurochemical correlates of neuronal plasticity Two primary goals of learning and memory studies are –i. neural centers.
Advertisements

What is connectomics? Jaeseung Jeong, Ph.D. Department of Bio and Brain Engineering, KAIST.
Chapter 4: Local integration 2: Neural correlates of the BOLD signal
Unit 5 Opener. Figure 26.1 Lateral and medial views of the human brain showing the association cortices.
Fast Readout of Object Identity from Macaque Inferior Tempora Cortex Chou P. Hung, Gabriel Kreiman, Tomaso Poggio, James J.DiCarlo McGovern Institute for.
Overview of neuronal development Neuronal survival vs. apoptosis Competition for cortical space The critical period Cortical plasticity in the adult Early.
The structural organization of the Brain Gray matter: nerve cell bodies (neurons), glial cells, capillaries, and short nerve cell extensions (axons and.
Functional Neuroanatomy and Applications IGERT Bootcamp September 2006.
Memory Circuits of the Cortex and Limbic Systems.
Nonlinear Time Series Analysis on EEG. Review x v x v.
Center for Brain and Cognitive Science Mind Reading for Cognitive Systems Yong-Ho Lee Center for Brain & Cognitive Research Korea Research Institute of.
IST8A Fall 2008 Introduction to the Brain. Outline of Topics 1.Imaging: postmortem and MRI 2.Brain Macro anatomy – lobes, tissues, cortex, hippocampus,
Functional Brain Signal Processing: Current Trends and Future Directions Kaushik Majumdar Indian Statistical Institute Bangalore Center
Vrije Universiteit Amsterdam Computational Analysis of Spatiotemporal Patterns of Activity in Neuronal Networks Arjen van Ooyen (EN) Arjen Brussaard (EN)
Chapter 11: Cognition and neuroanatomy. Three general questions 1.How is the brain anatomically organized? 2.How is the mind functionally organized? 3.How.
Conductors and Insulators
1/13/20041 Math 490N: Intro to Neuroscience Cells Neurons Nervous System.
Neural coding (1) LECTURE 8. I.Introduction − Topographic Maps in Cortex − Synesthesia − Firing rates and tuning curves.
Review Session: (1) Brain Development 3: Modification of Neural Circuits (Map Plasticity and Reorganization (Wed Apr 24 th 10 AM) (2)Somatosensory Circuitry:
Layer V pyramidal neuron
Cerebellum Overview and structure of cerebellum Microcircuitry of cerebellum Motor learning.
Cortex for Newbies. Neocortex Gyri (plural: singular = gyrus) – convolution or bump – protruding rounded surfaces (folds) Sulci (plural: singular = sulcus)
Neuroplasticity. How Does the Brain Change?  Plasticity: a property of the brain that allows it to change as a result of experience, drugs, or injury.
Aim #1 Engage community Highlight existing: modeling efforts strategic datasets Aim #2 Define and bootstrap an inclusive community-driven model and data-integration.
Modelling, Analysis and Visualization of Brain Connectivity
Functional Neuro-anatomy of the Visual System: A Coarse Course Jay Hegdé.
1960s, 1970s, converging evidence from cognitive neuropsychology, psychology, neurobiology support the view of Multiple memory systems, efforts to experimentally.
Class 3: Neurons  BOLD 2012 spring fMRI: theory & practice.
Figure 2.1. René Magritte, 1928 The Lovers (Les Amants), oil on canvas, 54 cm x 73 cm, National Gallery of Australia, Canberra.
Connecting neural mass models to functional imaging Olivier Faugeras, INRIA ● Basic neuroanatomy Basic neuroanatomy ● Neuronal circuits of the neocortex.
Chapter 2. From Complex Networks to Intelligent Systems in Creating Brain-like Systems, Sendhoff et al. Course: Robots Learning from Humans Baek, Da Som.
Session IV Electro-Vascular Coupling and Brain Energy Budget Barry Horwitz, NIH (Bethesda) – Chair David Attwell, Univ College London The Brain’s Energy.
Human Eye. Structures of the Human Eye Anatomy of the Retina.
Objective 2.4: * Objective 2.4: * Discuss two effects of the environment on physiological processes. *section B essay question 1.
Electrophysiology & fMRI. Neurons Neural computation Neural selectivity Hierarchy of neural processing.
Introduction to Neuroanatomy II: Functional Anatomy.
Synaptic Plasticity Synaptic efficacy (strength) is changing with time. Many of these changes are activity-dependent, i.e. the magnitude and direction.
How Do Brain Areas Work Together When We Think, Perceive, and Remember? J. McClelland Stanford University.
Richard Tomsett1,2 Marcus Kaiser1,3,4
Summary Presentation of Cortical Computing with Memrisitve Nanodevices Authored by Greg S. Snider Hewlett-Packard Laboratories Published Winter 2008, SciDAC.
Psych 204b: Computational Neuroimaging: Data Analysis
BIOPHYSICS 6702 – ENCODING NEURAL INFORMATION
Looking at connections between brain regions
The Developing Brain Significant changes occur all through development but especially during the first 2 years Development tends to be from back to from.
Early Brain Development
Social Neuroscience Seioh Ezaki
Functional segregation vs. functional integration of the brain
…it’s what’s for dinner.
Michael Meredith Biological Science
Neuroanatomy and Global Neuroscience
OCNC Statistical Approach to Neural Learning and Population Coding ---- Introduction to Mathematical.
Human Multi-level (“Brain Stack”) Framework
Bruce S. McEwen, John H. Morrison  Neuron 
Understanding a 3D Neural Network
Brain high-order functions
Dendritic Spines and Distributed Circuits
Types of Brain Connectivity By Amnah Mahroo
Early Brain Development Chapter 9 Section 1
Image resolution in cleared tissue.
Towards Large-Scale, Human-Based, Mesoscopic Neurotechnologies
From Functional Architecture to Functional Connectomics
Developmental Psychology
Mapping the Matrix: The Ways of Neocortex
Multiscale interactions and neuronal mass modeling Chair: Viktor Jirsa
Physical Development and Health
Grid Cells and Neural Coding in High-End Cortices
A schematic diagram illustrating the arrival of axons onto layer III neurons during normal development (top). A schematic diagram illustrating the arrival.
How the environment affects the brain
Towards Large-Scale, Human-Based, Mesoscopic Neurotechnologies
Summary Presentation of Cortical Computing with Memrisitve Nanodevices
Presentation transcript:

Session I Statistics and geometry of neuronal connections Chair: Noritaka Ichinohe Lab for Cortical Organization and Systematics Brain Science Institute, RIKEN Questions The statistics of the cortical connections: long-range axonal connections and micro-circuits The mini-architecture of the cerebral cortex. The on-board micro- circuitry, dendritic growth, trees bifurcations (development of connectivity) and plasticity 18th May, Morning

Topics 1. Bringing together functional and anatomical connectivity 2. Species comparison and bridging (human, monkey, rodent) 1. McIntosh 2. Van Essen

1. McIntosh 2. Van Essen (macroscopic area to area connectivity) 3. Rockland (long-range+local circuit) 4. Silberberg (local circuit) 3. Exploring different spatial levels of connectivity (area to area, microcircuitry etc.) and structures (area, column, layer etc.) 3. Rockland Spatial and temporal resolution of the methods (Cognitive Neuroscience, eds. Gazzaniga et al., 1998)

4. Integration of long-distance and intrinsic connections A cortical wiring diagram 2. Van Essen Single axon reconstruction 3. Rockland 4. Silberberg Intrinsic micro-circuitry

5. Formation and plasticity of neural connections Bouton Touch 4. Silberberg Tabula rasa Tension-based Cortical Folding 2. Van Essen Whole-cell recordings & Confocal connection analysis