Broadening of activity with flow across neural structures.
نویسندگان
چکیده
Synfire chains have long been suggested as a substrate for perception and information processing in the nervous system. However, embedding activation chains in a densely connected nervous matrix risks spread of signal that will obscure or obliterate the message. We used computer modeling and physiological measurements in rat hippocampus to assess this problem of activity broadening. We simulated a series of neural modules with feedforward propagation and random connectivity within each module and from one module to the next. We found that activity broadened as it propagated from one module to the next. This occurred over a wide array of parameters with greater broadening seen with increasing excitatory-excitatory synaptic strength. Activity broadening correlated positively with propagation velocity. Multi-electrode measurements of activity propagation in disinhibited CA1 slice demonstrated broadening of about 50% over 1 mm. Such broadening is a problem for information transfer that must be dealt with in a fully functioning nervous system.
منابع مشابه
Comparison and evaluation of the performance of data-driven models for estimating suspended sediment downstream of Doroodzan Dam
Dams control most of the sediment entering the reservoir by creating static environments. However, sediment leaving the dam depends on various factors such as dam management method, inlet sediment, water height in the reservoir, the shape of the reservoir, and discharge flow. In this research, the amount of suspended sediment of Doroodzan Dam based on a statistical period of 25 years has been i...
متن کاملتخمین دبی بار معلق رسوب با استفاده از بهترین ساختار شبکه عصبی مصنوعی در حوزه آبخیز طالقان
Prediction of sediment load transported by rivers is a crucial step in the management of rivers, reservoirs and hydraulic projects. In the present study, in order to predict the suspended sediment of Taleghan river by using artificial neural network, and recognize the best ANN with the highest accuracy, 500 daily data series of flow discharge on the present day, flow discharge on the past day...
متن کاملControlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
This paper presents a method to control both the dc boost and the ac output voltage of Z-source inverter using neural network controllers. The capacitor voltage of Z-source network has been controlled linearly in order to improve the transient response of the dc boost control of the Z-source inverter. The peak value of the line to line ac output voltage is used to control and keep the ac output...
متن کاملP152: Functional and Structural Brain Changes across Childhood Traumatic Events
Although childhood is connected with high neuroplasticity changes, but because of the immaturity of the neural and cognitive systems, it is ready to grow developmental deviations and future susceptibility for neuropsychological disorders. Young children face cognitive, emotional, and linguistic limits that may lead them more vulnerable to post-traumatic stress disorder (PTSD). PTSD prevalence d...
متن کاملStream Flow Prediction in Flood Plain by Using Artificial Neural Network (Case Study: Sepidroud Watershed)
In order to determine hydrological behavior and water management of Sepidroud River (North of Iran-Guilan) the present study has focused on stream flow prediction by using artificial neural network. Ten years observed inflow data (2000-2009) of Sepidroud River were selected; then these data have been forecasted by using neural network. Finally, predicted results are compared to the observed dat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Perception
دوره 37 3 شماره
صفحات -
تاریخ انتشار 2008