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Explore the computational comparison between computers and the human brain, diving into topics like Moravec's paradox, processing of information, and the ongoing quest to simulate a brain. Discover new insights into brain function and consciousness.
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Brain and Computers Francisco Gómez PhD Ciencias de la Computación Para todos Departamento de Matemáticas Facultad de Ciencias Universidad Nacional de Colombia 2018
Modelingcomputers “In order to make our interactions with machines more natural, we’ve learned to model them after ourselves.” Joseph Jacquard
Moravec’s paradox • low-level sensorimotor skills require enormous computational resources? • High-level reasoning requires very little computation!! ¿How we perceive machines?
¿Why Moravec’s paradox? Millions of years!! Thousands of years!! Easytomodel Hardtomodel
Computers vs Brain: In computation Computer Wins!! https://www.scientificamerican.com/article/computers-vs-brains/
Computers vs Brain: processing of information, Brain wins!! - Processing is binary (synapsis) - Processors units are preprogrammed (genetic patterning or learned associations) - Parallel way - Data and instructions are memory - Data is crunched in the CPU - Serial way
Visual system processing Nature Neurosciencevolume 19, pages356–365 (2016)
Whatweknowaboutthebrain? "Understanding how the brain works is arguably one of the greatest scientific challenges of our time." –Alivisatos Computationalneurosciencefocused Initialgoal: Simulate a Brain Computationalneuroscience Initialgoal: Functional Connectome
Comatose and postcomatose Diagnosis Prognosis
Brain Imaging Locked-in Syndrome Healthy Controls Brain Computer Interface (EEG – fMRI) REM sleep Communication Minimal Conscious State Content of Consciousness: Awareness Deep sleep Active functional neuro-imaging might reveal subclinical command following General Anesthesia COMA Eye pursuit Command following Eye opening Vegetative State Brain Death Level of Consciousness: Wakefulness Laureys et al., Lancet Neurology, 2004 (sleep data from Maquet; anesthesia data from Alkire)
Restingphenomena "fMRI data analysis" in Functional MRI: Basic Principles and Emerging Clinical Applications Gómez, Castellanos
Alterations of Multiple RSNs for DOC locked-in syndrome Functional connectivity in "default network" Vanhaudenhuyse & Noirhomme et al. Brain, 2010 Demertzi & Gómez et al. Cortex, 2014
Alterations of Multiple RSNs for DOC locked-in syndrome Functional connectivity in "default network" Vanhaudenhuyse & Noirhomme et al. Brain, 2010 Demertzi & Gómez et al. Cortex, 2014
Altered connectivity among RSNs Control MCS ECN. L * VS/UWS d=3.4 d=3.5 Control d=4.45 d=5.3 MCS ECN. R VS/UWS Significant differences VS/UWS and MCS (p<0.05, Bonferroni corrected), d Cohen’s effect size Rudas et al. IEEE Engineering in Medicine & Biology Society, 2014 (FDR, p<0.05, * p<0.001 uncorrected) extend 50 Z = [32,40,48,56,64,72]
Graphproperties Martinezet al. 10CCC (Bestpaperaward), 2015
Topological Data Analysis Topological Data Analysis Generates High-Resolution, Genome-wide Maps of Human Recombination. Camara et al. Cell Systems
Topological Data Analysis Martinezet al. HBM (Best poster award), 2017
Topological Time Series Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
Periodicity and Frequency Periodicity Frequency
Automatic diagnosis of DOC Demertzi et al, Brain (2015)
fMRIto PET Soddu & Gómez et al, Brain Function and Structure, 2016
RSNs - Structure and function Ribeiro de Paula et al. Brain and structure 2017
RestLib: A toolbox for single subject resting state analysis Guaje et al. SIB, 2014
Predictingneurologicaloutcome 6 monts
Questions? Mora, Icononzo Tol , 2016