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Introduction to SNNs
What is a spiking neuron? Spiking neurons are biologically plausible neurons that use short and sudden increases in voltage to send information, these signals are more commonly known as the action potentials or spikes or pulses. Neurons send out short pulses of electrical energy as signals if they have received enough. When a spike arrives…
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CNM:
CNM is a powerful Python package tailored for computational neuroscience modeling. With its user-friendly design and flexibility, it serves as an invaluable tool for constructing and running simulations of neural networks and other computational models in the realm of neuroscience. It is designed to be a GUI simulator later, letting researchers use and infer various…
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Deep Dive into Game Theory Essentials
Introduction In this article, we dive a little deeper into the examples of game theory and explore the strategies of potential avoidance and their consequences. We also take a look at the concept of solving games and decision-making. Classic Examples of Game Theory Prisoner’s Dilemma:The Prisoner’s Dilemma is a classic example in game theory that…
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Introduction to Game Theory
What is Game Theory? Game theory is a mathematical and strategic framework used to study interactions and decision-making among rational individuals or entities in various situations, often referred to as “games.” These “games” represent scenarios where the outcome of one participant’s decision depends on the choices made by others. Game theory analyzes these interactions to…
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A Dive into Cognitive Psychology
History of the evolution Before the evolution of cognitive psychology, the study of psychology was just around the behavior of humans which was reciprocated to the stimulated input that is undergone by a person, which led to an enduring question of the reason for the behavior not knowing the reason for the response of any…
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Introduction to Neurogenesis
What is Neurogenesis? Neurogenesis is the process by which new neurons are formed in the brain. The development of new neurons continues during adulthood in two regions of the brain. Neurogenesis takes place in the subventricular zone (SVZ) which forms the lining of the lateral ventricles and the subgranular zone which forms part of the…
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Introduction to Meta Reinforcement Learning
What is Meta-learning? Meta-learning, also known as “learning to learn”, is a subfield of machine learning and artificial intelligence that focuses on teaching models or algorithms how to learn more effectively and adapt to new tasks or domains with minimal training data. The primary goal of meta-learning is to develop some sort of algorithm that…