Neurobiology: Setting the Set Point for Neural Homeostasis
نویسندگان
چکیده
Neural homeostasis allows neural networks to maintain a dynamic range around a given set point. How this set point is determined remains unknown. New evidence shows that alterations of activity during a critical developmental period can alter the homeostatic set point, resulting in epilepsy-like activity.
منابع مشابه
Regulation of motoneuron excitability and the setting of homeostatic limits
Stability of neural circuits is reliant on homeostatic mechanisms that return neuron activity towards pre-determined and physiologically appropriate levels. Without these mechanisms, changes due to synaptic plasticity, ageing and disease may push neural circuits towards instability. Whilst widely documented, understanding of how and when neurons determine an appropriate activity level, the so-c...
متن کاملHomeostatic signaling: the positive side of negative feedback.
Synaptic homeostasis provides a means for neurons and circuits to maintain stable function in the face of perturbations such as developmental or activity-dependent changes in synapse number or strength. These forms of plasticity are thought to utilize negative feedback signaling to sense some aspect of activity, compare this with an internal set point, and then adjust synaptic properties to kee...
متن کاملCoupled coincidence point theorems for maps under a new invariant set in ordered cone metric spaces
In this paper, we prove some coupled coincidence point theorems for mappings satisfying generalized contractive conditions under a new invariant set in ordered cone metric spaces. In fact, we obtain sufficient conditions for existence of coupled coincidence points in the setting of cone metric spaces. Some examples are provided to verify the effectiveness and applicability of our results.
متن کاملModel Predictive Inferential Control of a Distillation Column
Typical production objectives in distillation process require the delivery of products whose compositions meet certain specifications. The distillation control system, therefore, must hold product compositions as near the set points as possible in faces of upset. In this project, inferential model predictive control, that utilizes an artificial neural network estimator and model predictive cont...
متن کاملEstimation of Binary Infinite Dilute Diffusion Coefficient Using Artificial Neural Network
In this study, the use of the three-layer feed forward neural network has been investigated for estimating of infinite dilute diffusion coefficient ( D12 ) of supercritical fluid (SCF), liquid and gas binary systems. Infinite dilute diffusion coefficient was spotted as a function of critical temperature, critical pressure, critical volume, normal boiling point, molecular volume in normal boilin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Current Biology
دوره 25 شماره
صفحات -
تاریخ انتشار 2015