Impaired behavioral activation and effort-related motivational dysfunctions like fatigue anergia are debilitating treatment-resistant symptoms of depression. Depressed people show a bias towards the selection low effort activities. To determine if broadly used antidepressant fluoxetine can improve reverse dopamine (DA) depletion-induced anergia, male CD1 mice were evaluated for vigorous escape ...

data on the effects of serotonin reuptake inhibitors on learning and memory processes are not consistent. in the present study, the effects of citalopram, a very potent and completely selective inhibitor of the serotonin reuptake on spatial discrimination in the t-maze and morris water maze, were assessed in mice and/or rats. animals received different doses of citalopram (1, 2, 4, 8 or 16 mg/k...

Aim of present research was to investigate in male Wistar rats whether a prior elevated plus maze experience modifies the temporal structure of the behavioral response following a retest applied after 24h. Video files were coded by means of a software coder and event log files generated for each subject were analyzed by means of a specific software for temporal pattern analysis (Theme). Present...

Firing activity from neural ensembles in rat hippocampus has been previously used to determine an animal's position in an open environment and separately to predict future behavioral decisions. However, a unified statistical procedure to combine information about position and behavior in environments with complex topological features from ensemble hippocampal activity has yet to be described. H...

We present a computational model of approach learning in a T-maze environment. We show that our model learns the correct sequence of six decisions that lead to the location of positive reinforcement and in a manner consistent with experimental observations. Our model exhibits many properties that are characteristic of animal learning in maze environments including delay conditioning, secondary ...

This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double T-Maze navigation tasks, where the robot has to locate and “remember” the position of a reward-zone. The “learning” comes about without modifications of synapse strengths, but simply from internal network dynamics, as proposed ...

The road sign problem is tackled in this work with Reservoir Computing (RC) networks. These networks are made of a fixed recurrent neural network where only a readout layer is trained. In the road sign problem, an agent has to decide at some point in time which action to take given relevant information gathered in the past. We show that RC can handle simple and complex T-maze tasks (which are a...

Abstract Female cancer patients have a better prognosis but more adverse events with chemotherapy; less is known other treatments like radiation therapy. Previous literature has demonstrated sex-dependent effects on the hippocampi and behavioral tasks within post-natal mice after radiotherapy. We explored differences in activity sleep adult male female our previously established mouse model of ...

Many crayfish species inhabit murky waters or have a crepuscular lifestyle, which forces them to rely on chemical and mechanical information rather than visual input. Information on how they use one form of mechanical information-tactile cues-to explore their local environment is limited. We observed the exploratory behavior of the crayfish Cherax destructor in a T-maze under red light. Animals...