Self-Sustained Thought Processes in a Dense Associative Network

Details Self-Sustained Thought Processes in a Dense Associative Network Self-Sustained Thought Processes in a Dense Associative Network

2005-08-22

arxiv.org/abs/q-bio/0508032v2

Proceedings of the 28th Annual German Conference on Artificial Intelligence (KI 2005), U. Furbach (Eds.): KI 2005, Springer Le

Biology

Quantitative Biology

Neurons and Cognition

14 pages, 9 figures

Scientific paper

Several guiding principles for thought processes are proposed and a neural-network-type model implementing these principles is presented and studied. We suggest to consider thinking within an associative network built-up of overlapping memory states. We consider a homogeneous associative network as biological considerations rule out distinct conjunction units between the information (the memories) stored in the brain. We therefore propose that memory states have a dual functionality: They represent on one side the stored information and serve, on the other side, as the associative links in between the different dynamical states of the network which consists of transient attractors. We implement these principles within a generalized winners-take-all neural network with sparse coding and an additional coupling to local reservoirs. We show that this network is capable to generate autonomously a self-sustained time-series of memory states which we identify with a thought process. Each memory state is associatively connected with its predecessor. This system shows several emerging features, it is able (a) to recognize external patterns in a noisy background, (b) to focus attention autonomously and (c) to represent hierarchical memory states with an internal structure.

Affiliated with

Also associated with

No associations

Rating

Self-Sustained Thought Processes in a Dense Associative Network does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Self-Sustained Thought Processes in a Dense Associative Network, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-Sustained Thought Processes in a Dense Associative Network will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-462782