June 24, 2015

Deep learning in the neocortex

Deep learning is an approach to artificial intelligence (AI) that loosely mimics how the brain works. By mimicking the operations of the brain, deep learning can rival, or even outperform, human beings in a number of functions, such as image recognition [1], motor control [2], and speech recognition [3]. Moreover, deep networks can develop representations that are a better match to recordings in the neocortex of humans or non-human primates than existing models in neuroscience [4,5]. This suggests that deep learning captures something important about how our own brains work. The key to “deep” learning (as opposed to “shallow” learning) […]
June 24, 2015

Multiple memory systems for enhanced reinforcement learning

Not all of our memories are stored in the same way. We have multiple memory systems that can provide different types of information [1,2]. Some of our memories are very detailed, giving us the ability to recall specific events and remember what it felt like when we were living it [3]. Our recent memories are stored in this way, as are some of the more emotionally salient events from our life. For example, you might be able to recall exactly what you had for breakfast yesterday or the song that was playing during your first kiss. In contrast, many of […]