The paper describes a computerized method, termed receptive field imaging (RFI), for the rapid mapping of multiple receptive fields and their respective sensitivity distributions. RFI uses random stimulation of multiple sites, in combination with an averaging procedure, to extract the relative contribution from each of the stimulated sites. Automated multi-electrode stimulation and recording, with spike detection and counting, are performed on-line by the RFI programme. Direct user interpretation of receptive field changes is made possible by a user-friendly graphic interface. A series of imaging experiments was carried out to evaluate the functional capacity of the system. RFI was tested on the receptive fields in the nociceptive withdrawa...
Measuring altered nociceptive processing involved in chronic pain is difficult due to a lack of obje...
Computing the spike-triggered average (STA) is a simple method to estimate linear receptive fields (...
Research on information processing in neuronal networks may lead to a better understanding of many b...
The paper describes a computerized method, termed receptive field imaging (RFI), for the rapid mappi...
A method for quantifying nociceptive withdrawal reflex receptive fields in human volunteers and pati...
AbstractAn important issue for neurophysiological studies of the visual system is the definition of ...
<p>(A) The image collected during which the subject reported the most pain is shown for each of 3 su...
. This paper shows how an important phenomenon found in biological systems can be modeled by suited ...
Neurons in the visual system vary widely in the spatiotemporal properties of their receptive fields ...
Many receptive fields in the early visual system show standard (center-surround) structure and can b...
A fundamental problem of neuroscience is being able to understand the input-output relationship of e...
A fundamental problem of neuroscience is being able to understand the input-output relationship of e...
Neurons in the visual system vary widely in the spatiotemporal properties of their receptive fields ...
The malfunctioning of the nociceptive system may contribute to post-surgical chronic pain developmen...
Measuring altered nociceptive processing involved in chronic pain is difficult due to a lack of obje...
Measuring altered nociceptive processing involved in chronic pain is difficult due to a lack of obje...
Computing the spike-triggered average (STA) is a simple method to estimate linear receptive fields (...
Research on information processing in neuronal networks may lead to a better understanding of many b...
The paper describes a computerized method, termed receptive field imaging (RFI), for the rapid mappi...
A method for quantifying nociceptive withdrawal reflex receptive fields in human volunteers and pati...
AbstractAn important issue for neurophysiological studies of the visual system is the definition of ...
<p>(A) The image collected during which the subject reported the most pain is shown for each of 3 su...
. This paper shows how an important phenomenon found in biological systems can be modeled by suited ...
Neurons in the visual system vary widely in the spatiotemporal properties of their receptive fields ...
Many receptive fields in the early visual system show standard (center-surround) structure and can b...
A fundamental problem of neuroscience is being able to understand the input-output relationship of e...
A fundamental problem of neuroscience is being able to understand the input-output relationship of e...
Neurons in the visual system vary widely in the spatiotemporal properties of their receptive fields ...
The malfunctioning of the nociceptive system may contribute to post-surgical chronic pain developmen...
Measuring altered nociceptive processing involved in chronic pain is difficult due to a lack of obje...
Measuring altered nociceptive processing involved in chronic pain is difficult due to a lack of obje...
Computing the spike-triggered average (STA) is a simple method to estimate linear receptive fields (...
Research on information processing in neuronal networks may lead to a better understanding of many b...