We will show that ability of information processing in an amoeboid organism is higher than we had thought. The model organism is the plasmodium of Physarum polycephalum (true slime mold), which is a large aggregate of protoplasm with many nuclei. The organism found the optimal path when it obtained the multiple locations of food. A simple mathematical model for the path finding was proposed in ...

Investigation of how specialized olfactory cues, such as pheromones, are detected has primarily focused on the function of receptor neurons within a subsystem of the nasal cavity, the vomeronasal organ (VNO). Behavioral analyses have long indicated that additional, non-VNO olfactory neurons are similarly necessary for pheromone detection; however, the identity of these neurons has been a myster...

This study aims to examine and compare the mechanisms through which social learning processes influence knowledge contribution behavior of lurkers contributors in open innovation communities (OICs). Based on theory stimulus–organism–response (SOR) framework, this developed a model formation mechanism from environmental stimuli (observational learning, reinforcement learning), organi...

Biologically plausible modeling of behavioral reinforcement learning tasks has seen great improvements over the past decades. Less work has been dedicated to tasks involving contingency reversals, i.e., tasks in which the original behavioral goal is reversed one or multiple times. The ability to adjust to such reversals is a key element of behavioral flexibility. Here, we investigate the neural...

various stresses during life can affect metabolism and brain activities, immune and endocrine systems directly and indirectly, and ultimately, causes animal behavior change. the cellular and molecular level change in neurotransmitter and hormone concentrations led to the functional changes of operating systems in the intracellular organelles.  these events cause of course oxidative stress. all ...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

A purely mathematical, behavioral model for Voltage Controlled Oscillators (VCO) is derived. It is based on a Non-Linear Discrete Convolution approach [1] which allows a time-domain formulation compatible with commercial system-level simulators. The approach enables the VCO nonlinear dynamics to be described with great accuracy and computational efficiency, and its influence on the performance ...