PPT-Synchrony in Neural Systems:

a very brief biased basic view Tim Lewis UC Davis NIMBIOS Workshop on Synchrony April 11 2011 neurons cell type intrinsic properties densities of ionic channels pumps etc morphology geometry . Calculi. Prof. Diletta Romana . Cacciagrano. Some . expressiveness. . results. Expressiveness. In general, in order to compare the expressive power of two languages, we look for the existence/non existence of an encoding with certain properties among these languages.. romain.brette@ens.fr. Spike-based . computation. Spikes. vs. rates. The question. Is neural computation . based. on . spikes. or on . firing. rates?. SPIKES. RATES. Goal of . this. part: to . understand. Romain Brette. Ecole Normale Supérieure. Spiking. . neuron. . models. Spiking. . neuron. . models. Input =. N . spike. trains. Output =. 1 . spike. train. What. transformation ?. Synaptic. . Scott . Phung. Nov 15, 2011. Some slides borrowed from Jared (‘09). Motivation. Build Distributed Systems with:. Fault-Tolerance. Consistency. Concurrency. Easy programmability. Timeline. Source: A History of the Virtual Synchrony Replication Model (‘93). Siwei. . Liu. 1,. Yang Zhou. 1. , Richard Palumbo. 2. , & Jane-Ling Wang. 1. 1. UC Davis; . 2. University of Rhode Island. Motivating Study. Physiological synchrony between romantic partners during nonverbal conditions. Jared Cantwell. Review. Multicast. Causal and total ordering. Consistent Cuts. Synchronized clocks. Impossibility of consensus. Distributed file systems. Goal. Distributed programming is hard. What tools can make it easier?. JA IN A DAY. October 13, 2015. Personal career story . Who we are. Locations. Community Involvement. Employee Engagement . What . makes Synchrony . employees great. By the numbers:. 80 years of history built one customer at a time. . Module 3. Ms. C Fahey. . Adapted from . Tusow. Everything psychological is simultaneously biological. . To think, feel or act without a body would be like running without legs.. We are bio-psycho-social systems. To understand our behavior, we need to study how biological, psychological and social systems interact. . Diachrony. Subject. Verb. Object. Modifier. John. Reads. The book. quickly. Sally. Eats. The apple. eagerly. Bryce. confuses . the class. thoroughly. Synchrony and . Diachrony. Why. Almost. Relies. Near. Can incorporate Neural, Genetic and Fuzzy Components. Expert Systems can perform many functions. Rules can be fuzzy, quantum, modal, neural, Bayesian, etc.. Special inference methods may be used. Concepts of Knowledge Representation: . and. Expert Systems. ARTIFICIAL INTELLIGENCE (AI). is the science of. R. L . . Being able . to. Ability to. solve a . problem. Comparing a DSS to Artificial Intelligence. Decision Support System (DSS). . application to the diagnosis of Alzheimer's disease. . from EEG. Justin Dauwels. LIDS, MIT. LMI, Harvard Medical School. Amari Research Unit, Brain Science Institute, RIKEN. June . 9. , . 2008. RIKEN Brain Science Institute. (BT 640). Navin Gupta . Assistant Professor, . Dept of BSBE, IIT Guwahati. Email. :cngupta@iitg.ernet.in. Few images are from Google. What do we know about Brain?. Orientations to Look at?. Any Idea?. romain.brette@ens.fr. Computing with neural synchrony:. an ecological approach to neural computation. Perception as pattern recognition. Marr (1982). Vision. Freeman & Co Ltd. The main . function.