Classes

Neuro 140: Biological and Artificial Intelligence

Semester: 

Spring

Offered: 

2021

This course provides a foundational overview of the fundamental ideas in computational neuroscience and the study of Biological Intelligence. At the same time, the course will connect the study of brains to the blossoming and rapid development of ideas in Artificial Intelligence. Topics covered include the biophysics of computation, neural networks, machine learning, Bayesian models, theory of learning, deep convolutional networks, generative adversarial networks, neural coding, control and dynamics of neural activity, applications to brain-machine interfaces, connectomics, among others...

Read more about Neuro 140: Biological and Artificial Intelligence

Neuro 130/230: Visual object recognition

Semester: 

Fall

Offered: 

2020
Visual recognition is essential for most everyday tasks including navigation, reading and socialization. Visual pattern recognition is also important for many engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of the enormous increase in computational power over the last decade, humans still outperform the most sophisticated engineering algorithms in visual recognition tasks. In this course, we will examine how circuits of neurons in visual cortex represent and transform visual information.... Read more about Neuro 130/230: Visual object recognition

Neuro 130/230 GSAS 78454 Visual object recognition: From computational and biophysical algorithms to cognition

Semester: 

Fall

Offered: 

2017

 

Visual recognition is essential for most everyday tasks including navigation, reading and socialization. Visual pattern recognition is also important for many engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of...

Read more about Neuro 130/230 GSAS 78454 Visual object recognition: From computational and biophysical algorithms to cognition

Brains, Minds and Machines Summer Course 2016

Semester: 

Summer

Offered: 

2017

The problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines – is arguably the greatest problem in science and technology. To solve it we will need to understand how human intelligence emerges from computation in neural circuits, with rigor sufficient to reproduce similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter. Today’s AI technologies, such as Watson and Siri, are...

Read more about Brains, Minds and Machines Summer Course 2016

Neuro 230/GSAS 78454: Visual Object Recognition: computational and biological mechanisms

Semester: 

Fall

Offered: 

2015

Visual recognition is essential for most everyday tasks including navigation, reading and socialization. Visual pattern recognition is also important for many engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of the enormous increase in computational power over the last decade, humans still outperform the most sophisticated engineering algorithms in visual recognition tasks. In this course, we will examine how circuits of neurons in visual cortex represent and transform visual...

Read more about Neuro 230/GSAS 78454: Visual Object Recognition: computational and biological mechanisms

Brains, Minds and Machines Summer course

Semester: 

Summer

Offered: 

2014

The problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines – is arguably the greatest problem in science and technology. To solve it we will need to understand how human intelligence emerges from computation in neural circuits, with rigor sufficient to reproduce similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter. Today's AI technologies, such as Watson and Siri, are...

Read more about Brains, Minds and Machines Summer course

MCB 145: Neurobiology of Perception and Decision Making

Semester: 

Fall

Offered: 

2013

One of the current goals of neuroscience is to understand neuronal circuits underlying perception and behavior. Recent advances in neuroscience have allowed us to glimpse neuronal processes that link perception and decision making. How is sensory information processed in the brain? How does an animal choose its action? How does an animal learn from ever-changing environments and adjust their behavior? The course will examine neurophysiological studies in perception and decision-making.