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Neural Network Model of Effects of Lesions in Perirhinal Cortex.

 Lisa M. Saksida and Timothy J. Bussey
  
 

Abstract:
It is unclear whether perirhinal cortex (PRh) is best characterized as being specialized for mnemonic function or whether PRh is involved in visual information processing leading to "object identification". One contributing factor has been a puzzling pattern of effects observed following lesions of PRh. For example, PRh lesions affect discrimination only when a large set of objects is used (e.g., Buckley & Gaffan, 1997). We developed a neural network model to investigate the idea that PRh has similar visual information processing properties to those of the rest of inferotemporal cortex (IT). The model is based on two general assumptions. First, networks of neurons in IT set up and maintain representations of visual stimuli, and these representations can change as a result of experience (perceptual learning). Second, visual representations in IT are organized hierarchically, such that simple representations in early processing regions combine to form more complex representations downstream, culminating in maximum complexity in PRh. We present simulations of several recently reported effects of lesions in PRh in monkeys that have provided key insights into the functions of this region. Simulation results suggest that effects of lesions in PRh may be due not to the impairment of a specific type of learning or memory, but to compromising the representations of visual stimuli.

 
 


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