Representation of Knowledge: How is information represented in the mind?

Decipher the structure and abstraction of knowledge, concepts, and context

Learning Mechanisms: How does the mind learn new information?

Infer the computations and processes behind learning, memory, and adaptation

Decision Making and Problem Solving: How does the brain make decisions and solve problems?

Create models of reasoning, planning, and cognitive strategies

Language Processing: How does the brain process and understand language?

Observe and model natural language processing, comprehension, and production

Perception and Action: How does the mind interpret sensory information and translate it into actions?

Explore the relationship between perception, motor control, and the environment, discover their neural mechanisms

Neural Computation: How do neural networks in the brain process information?

Discover the computational principles of neural circuits and reproduce them on neuromorphic platforms

Developmental Processes: How do cognitive abilities develop over time and through experience?

Study brain plasticity and cognitive development in children and across the lifespan.

Computational Modeling: How can computational models simulate and predict cognitive processes?

Develop algorithms and create models that mimic human cognition.

Each of these questions is a major area of research, and they often overlap, reflecting the complex and interconnected nature of cognitive processes. CoCo Investigators have expertise in all aspects of computational cognition, including both methods (machine learning, deep learning, Cognitive AI, computer vision, natural language processing, cognitive modeling, neuronal network modeling, and network science) and topic areas (decision-making, problem solving, sensory processing, language, memory, resource allocation, cognitive and motor control, metacognition, social cognition, and computational psychiatry). Below is a list of some of the recent publications from CoCo investigators, updated daily: