PSY+261+Week+5



[|Optogenetics]

[|The Sixth Sense]

=Types of Memory=


 * Working memory:** state of circuits when they are active and leads to what an individual is conscious of


 * Declarative memory**: consciously accessed information


 * Procedural memory**: memories for actions


 * Explicit memory**: memories that have a space/time stamp


 * Implicit memory**: memories that do not have a time stamp and that develop over a period of time; after repetition, the hippocampal circuits that contribute the time stamp drop out.





The **HIPPOCAMPUS** is a crucial component of memory formation, and enables us to interpret the present in the context of the past.

=**POSTERIOR** portions of the brain are involved in perceptual experiences= =**FRONTAL** areas are involved in procedural memories that involve the execution of actions=

Recurrent neural networks must be approached differently from feedforward neural networks, both when analyzing their behavior and training them. Recurrent neural networks can also behave chaotically. Usually, dynamical systems theory is used to model and analyze them. While a feedforward network propagates data linearly from input to output, recurrent networks (RN) also propagate data from later processing stages to earlier stages.
 * RECURRENT NEURAL NETWORK** (RNN) is a class of neural network where connections between units form a directed cycle . This creates an internal state of the network which allows it to exhibit dynamic temporal behavior.


 * BACKPROPOGATION** is a common method of teaching artificial neural networks how to perform a given task. It requires a teacher that knows, or can calculate, the desired output for any given input. It is most useful for feed-forward networks (networks that have no feedback, or simply, that have no connections that loop). The term is an abbreviation for "backwards propagation of errors".


 * BASINS OF ATTRACTION** are the set of initial conditions leading to long-time behavior that approaches that attractor (holon)