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URI: http://hdl.handle.net/2144/1260

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  • Formal models of memory based on temporally-varying representations 

    Howard, Marc W.
    The idea that memory behavior relies on a gradually-changing internal state has a long history in mathematical psychology. This chapter traces this line of thought from statistical learning theory in the 1950s, through ...
  • Memory for time 

    Howard, Marc W.
    The brain maintains a record of recent events including information about the time at which events were experienced. We review behavioral and neuro-physiological evidence as well as computational models to better understand ...
  • Imaging cortical dynamics in GCaMP transgenic rats with a head-mounted widefield macroscope 

    Scott, Benjamin B.; Thiberge, Stephan Y.; Guo, Caiying; Tervo, Dougal G.R.; Brody, Carlos D.; Karpova, Alla Y.; Tank, David W. (Elsevier, 2018)
    Widefield imaging of calcium dynamics is an emerging method for mapping regional neural activity but is currently limited to restrained animals. Here we describe cScope, a head- mounted widefield macroscope developed to ...
  • DeepSITH: efficient learning via decomposition of what and when across time scales 

    Jacques, Brandon G.; Tiganj, Zoran; Howard, Marc W.; Sederberg, Per B. (2021)
    Extracting temporal relationships over a range of scales is a hallmark of human perception and cognition -- and thus it is a critical feature of machine learning applied to real-world problems. Neural networks are either ...
  • An auditory-visual tradeoff in susceptibility to clutter 

    Zhang, Min; Denison, Rachel N.; Pelli, Denis G.; Le, Thuy Tien C.; Ihlefeld, Antje (2021-12-07)
    Sensory cortical mechanisms combine auditory or visual features into perceived objects. This is difficult in noisy or cluttered environments. Knowing that individuals vary greatly in their susceptibility to clutter, we ...
  • A mechanistic multi-area recurrent network model of decision-making 

    Kleinman, Michael; Chandrasekaran, Chandramouli; Kao, Jonathan (2021-12-01)
    Recurrent neural networks (RNNs) trained on neuroscience-based tasks have been widely used as models for cortical areas performing analogous tasks. However, very few tasks involve a single cortical area, and instead require ...
  • EEG phase-amplitude coupling strength and phase preference: association with age over the first three years after birth 

    Mariscal, Michael G.; Levin, April R.; Gabard-Durnam, Laurel J.; Xie, Wanze; Tager-Flusberg, Helen; Nelson, Charles A. (2021-05)
    Phase-amplitude coupling (PAC), the coupling of the phase of slower electrophysiological oscillations with the amplitude of faster oscillations, is thought to facilitate dynamic integration of neural activity in the brain. ...
  • Objective measurement of sleep by smartphone application: Comparison with actigraphy and relation to self-reported sleep 

    Maynard, Taylor; Appleman, Erica; Cronin-Golomb, Alice; Neargarder, Sandy (2021-10-31)
    AIM: Smartphone technology is increasingly used by the public to assess sleep. Specific features of some sleep-tracking applications are comparable to actigraphy in objectively monitoring sleep. The clinical utility of ...
  • Arousal‐based pupil modulation is dictated by luminance 

    Pan, Jasmine; Klímová, Michaela; McGuire, Joseph T.; Ling, Sam (Nature Publishing Group, 2022-01-26)
    Pupillometry has become a standard measure for assessing arousal state. However, environmental factors such as luminance, a primary dictator of pupillary responses, often vary across studies. To what degree does luminance ...
  • Voltage based spike-timing dependent myelin plasticity 

    Berteau, S.; Yazdanbakhsh, Arash (2021-01-11)
    There is an increasing body of evidence from both in vivo studies (Varela et al., 2001; Wang, 2010; Siegel, Donner, & Engel, 2010) and simulated networks (Izhikevich & Edelman, 2008; Noori et al. 2020) that the brain's ...

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