Influence of lateral connections on the structure of cortical maps.

نویسندگان

  • Miguel A Carreira-Perpiñán
  • Geoffrey J Goodhill
چکیده

Maps of ocular dominance and orientation in primary visual cortex have a highly characteristic structure. The factors that determine this structure are still largely unknown. In particular, it is unclear how short-range excitatory and inhibitory connections between nearby neurons influence structure both within and between maps. Using a generalized version of a well-known computational model of visual cortical map development, we show that the number of excitatory and inhibitory oscillations in this interaction function critically influences map structure. Specifically, we demonstrate that functions that oscillate more than once do not produce maps closely resembling those seen biologically. This strongly suggests that local lateral connections in visual cortex oscillate only once and have the form of a Mexican hat.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Final Accepted Version Jn-00281-2004.r1 the Influence of Lateral Connections on the Structure of Cortical Maps

Maps of ocular dominance and orientation in primary visual cortex have a highly characteristic structure. The factors that determine this structure are still largely unknown. In particular, it is unclear how short-range excitatory and inhibitory connections between nearby neurons influence structure both within and between maps. Using a generalized version of a well-known computational model of...

متن کامل

Self-Organization with Lateral Connections

A self-organizing neural network model for the development of aaerent and lateral input connections in cortical feature maps is presented. The weight adaptation process is purely activity-dependent, unsupervised, and local. The aaerent input weights self-organize into a topological map of the input space. At the same time, the lateral interaction weights develop a smooth \Mexican hat" shaped di...

متن کامل

Self-Organizing Feature Maps with Lateral Connections: Modeling Ocular Dominance

The neocortex is the largest part of the mammalian brain, and appears to be the least genetically determined. Much of its structure and connectivity depends on electrical activity during development. Because various neocortical areas are very similar in anatomical structure and exhibit similar developmental phenomena, it has been suggested that a common organizing mechanism underlies their onto...

متن کامل

Modeling Cortical Plasticity Based on Adapting Lateral Interaction

A neural network model called LISSOM for the cooperative self-organization of a erent and lateral connections in cortical maps is applied to modeling cortical plasticity. After self-organization, the LISSOM maps are in a dynamic equilibrium with the input, and reorganize like the cortex in response to simulated cortical lesions and intracortical microstimulation. The model predicts that adaptin...

متن کامل

Large-scale sprouting of cortical connections after peripheral injury in adult macaque monkeys.

Distributions of thalamic and cortical connections were investigated in four macaque monkeys with long-standing, accidental trauma to a forelimb, to determine whether the growth of new connections plays a role in the reorganization of somatosensory cortex that occurs after major alterations in peripheral somatosensory inputs. In each monkey, microelectrode recordings of cortical areas 3b and 1 ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Journal of neurophysiology

دوره 92 5  شماره 

صفحات  -

تاریخ انتشار 2004