Search Results - "Khanday, Mudasir A"

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  1. 1

    1T Spiking Neuron Using Ferroelectric Junctionless FET with Ultra-Low Energy Consumption of 24 aJ/Spike by Khanday, Mudasir A., Rashid, Shazia, Khanday, Farooq A.

    Published in Neural processing letters (01-12-2023)
    “…In view of the soaring demand of highly scalable and energy-efficient neuron devices for future neuromorphic computing, this work demonstrates a novel…”
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    Journal Article
  2. 2

    Role of serotonergic dorsal raphe neurons in hypercapnia-induced arousals by Kaur, Satvinder, De Luca, Roberto, Khanday, Mudasir A., Bandaru, Sathyajit S., Thomas, Renner C., Broadhurst, Rebecca Y., Venner, Anne, Todd, William D., Fuller, Patrick M., Arrigoni, Elda, Saper, Clifford B.

    Published in Nature communications (02-06-2020)
    “…During obstructive sleep apnea, elevation of CO 2 during apneas contributes to awakening and restoring airway patency. We previously found that glutamatergic…”
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    Journal Article
  3. 3

    Sleep-Wake Control by Melanin-Concentrating Hormone (MCH) Neurons: a Review of Recent Findings by Bandaru, Sathyajit S., Khanday, Mudasir A., Ibrahim, Nazifa, Naganuma, Fumito, Vetrivelan, Ramalingam

    Published in Current neurology and neuroscience reports (02-10-2020)
    “…Purpose of the Review Melanin-concentrating hormone (MCH)–expressing neurons located in the lateral hypothalamus are considered as an integral component of…”
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    Journal Article
  4. 4

    Single Germanium MOSFET-Based Low Energy and Controllable Leaky Integrate-and-Fire Neuron for Spiking Neural Networks by Khanday, Mudasir A., Bashir, Faisal, Khanday, Farooq A.

    Published in IEEE transactions on electron devices (01-08-2022)
    “…In this work, a single transistor based on germanium (Ge) is used to construct a leaky integrate-and-fire (LIF) neuron with significant improvement in energy…”
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    Journal Article
  5. 5

    Single SiGe Transistor Based Energy-Efficient Leaky Integrate-and-Fire Neuron for Neuromorphic Computing by Khanday, Mudasir A., Khanday, Farooq A., Bashir, Faisal

    Published in Neural processing letters (01-12-2023)
    “…This work aims to present a novel energy-efficient single transistor leaky integrate-and-fire neuron for future neuromorphic computing. It comprises of a…”
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    Journal Article
  6. 6

    Exploiting Steep Sub-Threshold Swing of Tunnel FET for Energy-Efficient Leaky Integrate-and-Fire Neuron Model by Khanda, Mudasir A, Khanday, Farooq A, Bashir, Faisal, Zahoor, Furqan

    Published in IEEE transactions on nanotechnology (01-01-2023)
    “…In this work, a single transistor (1-T) leaky-integrate-and-fire neuron based on band to band tunneling mechanism is proposed with significant improvement in…”
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    Journal Article
  7. 7

    An energy‐efficient tunable threshold spiking neuron with excitatory and inhibitory function by Khanday, Mudasir A., Khanday, Farooq A.

    “…In this work, a complementary metal‐oxide‐semiconductor (CMOS) based leaky‐integrate and fire neuron has been proposed and investigated for neuromorphic…”
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    Journal Article
  8. 8

    Dielectrically modulated hetero‐material double gate tunnel field‐effect transistor for label free biosensing by Shakeel, Ifrah, Rashid, Shazia, Khanday, Farooq A., Khanday, Mudasir A.

    “…This work proposes a novel double gate hetero‐material tunnel field effect transistor for label free biosensing applications. The device consists of III‐V…”
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    Journal Article
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    Rapid Eye Movement Sleep Deprivation Induces Neuronal Apoptosis by Noradrenaline Acting on Alpha1 Adrenoceptor and by Triggering Mitochondrial Intrinsic Pathway by Somarajan, Bindu I, Khanday, Mudasir A, Mallick, Birendra N

    Published in Frontiers in neurology (07-03-2016)
    “…Many neurodegenerative disorders are associated with rapid eye movement sleep (REMS) loss; however, the mechanism was unknown. As REMS loss elevates…”
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    Journal Article
  12. 12

    Energy-Efficient Single Transistor Neuron for Reconfigurable Threshold Logic and Image Classification by Khanday, Mudasir A, Bashir, Faisal, Khanday, Farooq A

    “…This work explores the applications of germanium based energy-efficient single transistor neuron for reconfigurable threshold logic. The implementation is done…”
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    Conference Proceeding