Article -> Article Details
| Title | A Model Replicating Sound-identification of the Human Brain |
|---|---|
| Category | Education --> Colleges |
| Meta Keywords | educaion |
| Owner | John Mathew |
| Description | |
| A group of MIT neuroscientists developed a computer model that can recognize where a certain sound is coming from as well as the human brain. The capacity to locate and identify a sound and the source that emitted it in the first place is a complex ability performed by the human brain which has been a subject of persistent focus and research. Akin to the human brain that takes into account the varied sound waves and measures the amplitude and frequency in question to assess sounds and differentiate them from each other, the model that aims to replicate the sound-identification ability of the human brain, also does so through a cumulative neural network in order to produce similar results, adapting and accommodating itself with the variations in the external environment. A group of MIT neuroscientists developed a computer model that can recognize where a certain sound is coming from as well as the human brain. The capacity to locate and identify a sound and the source that emitted it in the first place is a complex ability performed by the human brain which has been a subject of persistent focus and research. Akin to the human brain that takes into account the varied sound waves and measures the amplitude and frequency in question to assess sounds and differentiate them from each other, the model that aims to replicate the sound-identification ability of the human brain, also does so through a cumulative neural network in order to produce similar results, adapting and accommodating itself with the variations in the external environment. A group of MIT neuroscientists developed a computer model that can recognize where a certain sound is coming from as well as the human brain. The capacity to locate and identify a sound and the source that emitted it in the first place is a complex ability performed by the human brain which has been a subject of persistent focus and research. Akin to the human brain that takes into account the varied sound waves and measures the amplitude and frequency in question to assess sounds and differentiate them from each other, the model that aims to replicate the sound-identification ability of the human brain, also does so through a cumulative neural network in order to produce similar results, adapting and accommodating itself with the variations in the external environment. A group of MIT neuroscientists developed a computer model that can recognize where a certain sound is coming from as well as the human brain. The capacity to locate and identify a sound and the source that emitted it in the first place is a complex ability performed by the human brain which has been a subject of persistent focus and research. Akin to the human brain that takes into account the varied sound waves and measures the amplitude and frequency in question to assess sounds and differentiate them from each other, the model that aims to replicate the sound-identification ability of the human brain, also does so through a cumulative neural network in order to produce similar results, adapting and accommodating itself with the variations in the external environment. | |