'Excitatory inhibitory' presentation slideshows

Neural Networks

Neural Networks. Pattern Recognition. Humans are very good at recognition. It is easy for us to identify the Dalmatian dog in the image This recognition capability would be very difficult to implement in a program. Biological Neurons.

1.11k views • 93 slides

Feedforward networks

Feedforward networks. Complex Network. Simpler (but still complicated) Network. Feedforward Network. 3d. 2a. 2a. 2c. 1a. 1a. 3a. 3a. 3a. 2b. 2b. 1b. 1b. 3b. 3b. 3c. 3e. 1b. 1a. 2c. 2c. 3c. 3c. 1c. 1c. 2a. 1c. 2d. 2d. 1d. 1d. 3d. 3d. 2e. 3b. 2e. 2e. 1e.

422 views • 41 slides

Multiple attractors and transient synchrony in a model for an insect's antennal lobe

Multiple attractors and transient synchrony in a model for an insect's antennal lobe. Joint work with B. Smith, W. Just and S. Ahn. Olfaction. Schematic of the bee olfactory system. Antennal lobe. Local interneurons (LNs). Output. Input from receptors. Projection neurons (PNs).

352 views • 28 slides

Bi / CNS 150 Lecture 11 Synaptic inhibition; cable properties of neurons

?- Aminobutyric acid ( GABA). Bi / CNS 150 Lecture 11 Synaptic inhibition; cable properties of neurons Wednesday, October 15, 2013 Bruce Cohen. Chapter 2 (p. 28-35); Chapter 10 (227-232). Crystal structure of GABA A Receptor ( Miller et al, 2014 ) Homomer of 5 GABA A ? 3 subunits

383 views • 21 slides

How Recurrent Dynamics Explain Crowding

112 views • 1 slides