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NEURONAL DYNAMICS 2: ACTIVATION MODELS

NEURONAL DYNAMICS 2: ACTIVATION MODELS

NEURONAL DYNAMICS 2: ACTIVATION MODELS. Chapter 3. Neuronal Dynamics 2 :Activation Models. 3.1 Neuronal dynamical system. Neuronal activations change with time. The way they change depends on the dynamical equations as following:. (3-1) (3-2).

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1.14k views • 112 slides
Detecting Parallelism in C Programs with Recursive Data Structures

Detecting Parallelism in C Programs with Recursive Data Structures

Detecting Parallelism in C Programs with Recursive Data Structures Rakesh Ghiya , L J. Hendren , Y Zhu. Presented By Hao Lin. April. 5 th , 2010. Overview. Parallel Patterns Function-call parallelism Forall loop parallelism Foreach loop parallelism

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650 views • 59 slides
Review

Review

Review. 1.Neuronal Dynamical Systems. We describe the neuronal dynamical systems by first-order differential or difference equations that govern the time evolution of the neuronal activations or membrane potentials. Review. 4.Additive activation models. Hopfield circuit:.

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671 views • 54 slides
Adviser: Frank, Yeong-Sung Lin Present by Sean Chou

Adviser: Frank, Yeong-Sung Lin Present by Sean Chou

An optimal reliability allocation method for digital substation systems Yuzhou Hu, Peichao Zhang, Yongchun Su, Yu Zou. Adviser: Frank, Yeong-Sung Lin Present by Sean Chou. Agenda. Introduction Reliability allocation modeling and solving Equivalent redundancy coefficient Case study

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540 views • 42 slides
Presented by: Marco Berger Director

Presented by: Marco Berger Director

Presented by: Marco Berger Director. DM 705 SUB High-capacity Multi-service platform. Multi-Service Multiplexer. STM-1 SDH Add Drop Multiplexer. E3 PDH Multiplexer. IP Aggregation. Pseudowire/TDMoIP Gateway. E1/DS0 Cross-Connect. Last Mille Aggregator for Copper/Fiber Access.

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429 views • 20 slides
Neural Networks Chapter 4

Neural Networks Chapter 4

Neural Networks Chapter 4. Joost N. Kok Universiteit Leiden. Hopfield Networks. Optimization Problems (like Traveling Salesman) can be encoded into Hopfield Networks Fitness corresponds to energy of network Good solutions are stable points of the network. Hopfield Networks. Three Problems

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279 views • 16 slides
8.3 Representing Relations

8.3 Representing Relations

8.3 Representing Relations . Connection Matrices Let R be a relation from A = { a 1 , a 2 , . . . , a m } to B = {b 1 , b 2 , . . . , b n }. Definition: A n m ? n connection matrix M for R is defined by M ij = 1 if <a i , b j > is in R, = 0 otherwise.

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485 views • 13 slides

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