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Informing deep neural networks by multiscale principles of neuromodulatory systems
Our brains have evolved the ability to configure and adapt their processing states to match
the unique challenges of acting and learning in diverse environments and behavioral …
the unique challenges of acting and learning in diverse environments and behavioral …
Hypoglycaemia detection and prediction techniques: A systematic review on the latest developments
The main objective of diabetes control is to correct hyperglycaemia while avoiding
hypoglycaemia, especially in insulin‐treated patients. Fear of hypoglycaemia is a hurdle to …
hypoglycaemia, especially in insulin‐treated patients. Fear of hypoglycaemia is a hurdle to …
Multicore fiber optic imaging reveals that astrocyte calcium activity in the mouse cerebral cortex is modulated by internal motivational state
Astrocytes are a direct target of neuromodulators and can influence neuronal activity on
broad spatial and temporal scales in response to a rise in cytosolic calcium. However, our …
broad spatial and temporal scales in response to a rise in cytosolic calcium. However, our …
An optimized deep neural network based DoS attack detection in wireless video sensor network
Due to the technological advancements in sensor and modern devices, the Wireless
Multimedia Sensor Network (WNSMs) have gained attraction among various communities. It …
Multimedia Sensor Network (WNSMs) have gained attraction among various communities. It …
Structured flexibility in recurrent neural networks via neuromodulation
A core aim in theoretical and systems neuroscience is to develop models which help us
better understand biological intelligence. Such models range broadly in both complexity and …
better understand biological intelligence. Such models range broadly in both complexity and …
Neuromodulation and neurophysiology on the timescale of learning and decision-making
Nervous systems evolved to effectively navigate the dynamics of the environment to achieve
their goals. One framework used to study this fundamental problem arose in the study of …
their goals. One framework used to study this fundamental problem arose in the study of …
[HTML][HTML] Seven properties of self-organization in the human brain
The principle of self-organization has acquired a fundamental significance in the newly
emerging field of computational philosophy. Self-organizing systems have been described …
emerging field of computational philosophy. Self-organizing systems have been described …
Eye gaze and self-attention: How humans and transformers attend words in sentences
Attention describes cognitive processes that are important to many human phenomena
including reading. The term is also used to describe the way in which transformer neural …
including reading. The term is also used to describe the way in which transformer neural …
Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization
Neurons in the brain have rich and adaptive input-output properties. Features such as
heterogeneous fI curves and spike frequency adaptation are known to place single neurons …
heterogeneous fI curves and spike frequency adaptation are known to place single neurons …
Progressive Transfer Learning-based Deep Q Network for DDOS Defence in WSN.
Abstract In The Wireless Multimedia Sensor Network (WNSMs) have achieved popularity
among diverse communities as a result of technological breakthroughs in sensor and …
among diverse communities as a result of technological breakthroughs in sensor and …