Neuromodulation and cortical function: modeling the physiological basis of behavior.
By Michael E. Hasselmo. 1995
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Andrea Soltoggio
- Kenneth O. Stanley
- Sebastian Risi
- J. Urgen Schmidhuber
- Wulfram Gerstner
- Olaf Sporns
- Jeff Clune
- Yoshua Bengio
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “…variety of neural functions, from arousal and behavior (Harris-Warrick and Marder, 1991; Hasselmo and Schnell, 1994; Marder, 1996; Katz, 1995; Katz and Frost, 1996), to pattern generation (Katz et al., 1994), to memory consolidation (Kupfermann, 1987; Hasselmo, 1995; Marder, 1996; Hasselmo, 1999).”
- Uncertainty and Learning (2003, background): “Hippocampal cholinergic deaerentation in animals also bring about a stronger susceptibility to interference compared with controls [ 21 ].”
- Conjunctive representations in learning and memory: principles of cortical and hippocampal function. (2001, background): “Also, a number of computational models of hippocampal function have embraced some of the assumptions that are central to our models (e.g., Alvarez & Squire, 1994; Burgess & O'Keefe, 1996; Hasselmo, 1996; Moll & Miikkulainen, 1997; Touretzky & Redish, 1996; Treves & Rolls, 1994; Wu, Baxter, & Levy, 1”
- Computational Models of Neuromodulation (1998, background): “Simple models, however, often fail to capture important aspects of neural processing such as neuromodulation (Cooper, Bloom, & Roth, 1991; Harris-Warrick & Marder, 1991; Hasselmo, 1995; Kaczmarek & Levitan, 1987).”
- Evolutionary design and behavior analysis of neuromodulatory neural networks for mobile robots control (2007, background): “Many publications in neuroscience show the importance of the NMs for the dynamic rearrangement of neuronal function [19], or for learning and memory functions [20].”
- TMS and drugs. (2004, background): “These effects are most likely explained by the complex and hitherto only incompletely understood modulating effects of DA, NE, 5-HT and ACh on inhibitory and excitatory synaptic transmission in neocortical neuronal networks (Hasselmo, 1995).”
- RETHINKING THE EMOTIONAL BRAIN (2012, unknown): “That is, they modulate rather than initiate neural activity, regulating neuronal excitability and neurotransmission (Schildkraut and Kety, 1967; Hasselmo, 1995; Lopez and Brown, 1992).”
- An Embodied Model of Learning, Plasticity, and Reward (2002, background): “In computational models neuromodulatory functions may be implemented as an influence on the sharpness or nonlinearity of neuronal responses, learning and plasticity, or other model parameters (see, for example, ServanSchreiber, Printz, & Cohen 1990; Hasselmo, 1995; Pennartz, 1996; Fellous & Linster,”
- Evolutionary and Computational Advantages of Neuromodulated Plasticity (2008, background): “Notions on modulatory chemicals in biology suggest that their diffusion can be on different scales involving large areas in some cases (Hasselmo, 1995; Bear et al., 2005), or be also specific to dendrites branches (Clark and Kandel, 1984).”
- Tracelink: A model of consolidation and amnesia (2005, background): “In the brain, several central mechanisms have been proposed that modulate learning, for example an amygdaloid system based on norepinephrine (McGaugh, 1990) and a cholinergic system arising from the basal forebrain (Hasselmo, 1995).”
- Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances (2013, background): “Neuromodulation, however, involves a variety of modulatory chemicals, which are observed to regulate a spectrum of neural functions, from arousal to attention, exploration, exploitation, memory consolidation, and other (Hasselmo, 1995; Marder and Thirumalai, 2002; Aston-Jones and Cohen, 2005).”
- Switching between internal and external modes: A multiscale learning principle (2017, methodology): “Building on ideas developed by Hasselmo (1995), we refer to them as “internally biased” and “externally biased” modes.”
- A History of Spike-Timing-Dependent Plasticity (2011, background): “Indeed, blocking neuromodulation severely impairs virtually all known forms of learning and memory (Bear and Singer, 1986; Hasselmo, 1995; Kilgard and Merzenich, 1998; Li et al., 2006; Gelinas and Nguyen, 2007; Hasselmo and Sarter, 2011), and abnormalities in neuromodulation are implicated in…”