학술논문

Auditory orienting: automatic detection of auditory change over brief intervals of time: a neural net model of evoked brain potentials
Document Type
Conference
Source
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks Neural Networks, 1992. IJCNN., International Joint Conference on. 3:775-779 vol.3 1992
Subject
Computing and Processing
Components, Circuits, Devices and Systems
Signal Processing and Analysis
Biological neural networks
Voltage
Enterprise resource planning
Delay
Brain modeling
Speech
Cities and towns
Educational institutions
Electronic mail
Humans
Language
Abstract
The human auditory system has a neurophysiological component, mismatch negativity (MMN), that automatically registers change over time of a variety of simple auditory features, e.g., loudness, pitch, duration, and spatial location. A neural network automatic auditory orienting (AAO-MMN) model which simulates the MMN response is described. The main assumption of the proposed AAO-MMN model is that the broad range characteristic of MMN is achieved by local inhibition of the nonlocal thalamic sources of distributed neural activation. The model represents this activation source by a single thalamic (T) unit that is always fully active. The second assumption is that the buildup of MMN over several repetitions of the standard stimulus is accomplished by a local cumulative activation function. All the local accumulator neurons inhibit the nonlocal, steady-state, thalamic activation represented by T.ETX