Recent Submissions

  • Function approximation by deep networks 

    Mhaskar, H.N.; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM),, 2019-05-30)
    We show that deep networks are better than shallow networks at approximating functions that can be expressed as a composition of functions described by a directed acyclic graph, because the deep networks can be designed ...
  • Biologically-plausible learning algorithms can scale to large datasets 

    Xiao, Will; Chen, Honglin; Liao, Qianli; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM),, 2018-11-08)
    The backpropagation (BP) algorithm is often thought to be biologically implausible in the brain. One of the main reasons is that BP requires symmetric weight matrices in the feedforward and feedback pathways. To address ...
  • What am I searching for? 

    Zhang, Mengmi; Feng, Jiashi; Lim, Joo Hwee; Zhao, Qi; Kreiman, Gabriel (Center for Brains, Minds and Machines (CBMM),, 2018-07-31)
    Can we infer intentions and goals from a person's actions? As an example of this family of problems, we consider here whether it is possible to decipher what a person is searching for by decoding their eye movement behavior. ...

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