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Journals and Conferences
This paper reports on efforts to evolve an optimum de/convo-lution function to be used to convert analog to binary signals (spike trains) and vice versa for the binary input/output signals of the… (More)
This paper presents some simpliications to our recently introduced \CoDi-model", which we use to evolve Cellular Automata based neural network modules for ATR's artiicial brain project \CAM-Brain"… (More)
This paper reports on recent progress made in ATR's attempt to build a 10,000 evolved neural net module artificial brain to control the behaviors of a life sized robot kitten.
This paper reports on ongoing attempts to nd an eecient and eeective representation for the binary signaling of ATR's CAM-Brain Machine (CBM), using the so-called "CoDi-1Bit" model. The CBM is an… (More)
This work presents a sample of what evolved neural net circuit modules using the socalled "CoDi-1Bit" neural net model  can do. This work is part of an 8 year research project at ATR which aims to… (More)
This paper describes a hardware architecture capable of evolving thousands of neural network modules in a matter of minutes and running a simulation of a million neuron modular artificial brain in… (More)
This article introduces ATR's \CAM-Brain Machine" (CBM), an FPGA based piece of hardware which implements a genetic algorithm (GA) to evolve a cellular automata (CA) based neural network circuit… (More)
This paper introduces some early thoughts of the authors on how to humanly design an artificial brain containing 10,000 evolved cellular automata-based neural network modules.